24.3.6.2 Building Interiors, Walls, Indoor Models

Chapter Contents (Back)
Indoor Models. Interior Models.
See also Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces.
See also Building Facades, Ground Level Images.
See also Floorplans, Floor Plans, Building Interiors.
See also Room Layout. Navigation possible:
See also Vision-Language Navigation.

NYU Depth Dataset V2,

HTML Version. Dataset, RGBD. Dataset, Indoor Scenes.
See also Indoor Segmentation and Support Inference from RGBD Images.

El-Hakim, S.F.[Sabry F.], Boulanger, P.[Pierre],
Mobile system for indoor 3-D mapping and creating virtual environments,
US_Patent6,009,359, Dec 28, 1999
WWW Link. BibRef 9912

Mudure, M.[Mihai], Popescu, V.[Voicu],
1001 Acquisition viewpoints: efficient and versatile view-dependent modeling of real-world scenes,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Bahmutov, G.[Gleb], Popescu, V.[Voicu], Mudure, M.[Mihai],
Efficient large scale acquisition of building interiors,
SigGraph06(Article 127).
WWW Link. BibRef 0600

Lin, L., Zeng, K., Wang, Y., Hu, W.,
3D structure inference by integrating segmentation and reconstruction from a single image,
IET-CV(2), No. 1, March 2008, pp. 15-22.
DOI Link 0905
Hierarchical Bayesian, 3D structure of polyhedral man-made objects. Polygonal regions into polygonal objects. BibRef

Sareen, K.K.[Kuldeep K.], Knopf, G.K.[George K.], Canas, R.[Roberto],
Hierarchical data clustering approach for segmenting colored three-dimensional point clouds of building interiors,
OptEng(50), No. 7, 2011, pp. 077003.
DOI Link 1111
BibRef

Knopf, G.K.[George K.], Sareen, K.K.[Kuldeep K.], Canas, R.[Roberto],
Reconstructing complex scenes for virtual reality,
SPIE(Newsroom), October 20, 2011
DOI Link 1111
A robust data segmentation strategy for large colorized point clouds of building interiors improves modeling of scanned space. BibRef

Lien, J.M.[Jyh-Ming], Camelli, F.[Fernando], Wong, D.[David], Lu, Y.Y.[Yan-Yan], McWhorter, B.[Benjamin],
Creating building ground plans via robust K-way union: A step toward large-scale simulation in urban environment,
VC(27), No. 4, April 2011, pp. 401-412.
WWW Link. 1204
BibRef

Lagunas, E., Amin, M.G., Ahmad, F., Najar, M.,
Joint Wall Mitigation and Compressive Sensing for Indoor Image Reconstruction,
GeoRS(51), No. 2, February 2013, pp. 891-906.
IEEE DOI 1302
BibRef

Wang, R.[Rong], Wang, Z.L.[Zhi-Liang], Ma, X.R.[Xi-Rong],
Indoor Scene Classification Based on the Bag-of-Words Model of Local Feature Information Gain,
IEICE(E96-D), No. 4, April 2013, pp. 984-987.
WWW Link. 1304
BibRef

Liu, H.[Han], Yang, Y.L.[Yong-Liang], Al Halawani, S.[Sawsan], Mitra, N.J.[Niloy J.],
Constraint-aware interior layout exploration for pre-cast concrete-based buildings,
VC(29), No. 6-8, June 2013, pp. 663-673.
WWW Link. 1306
BibRef

Keller, F.[Friedrich], Sternberg, H.[Harald],
Multi-Sensor Platform for Indoor Mobile Mapping: System Calibration and Using a Total Station for Indoor Applications,
RS(5), No. 11, 2013, pp. 5805-5824.
DOI Link 1312
BibRef

Oesau, S.[Sven], Lafarge, F.[Florent], Alliez, P.[Pierre],
Indoor scene reconstruction using feature sensitive primitive extraction and graph-cut,
PandRS(90), No. 1, 2014, pp. 68-82.
Elsevier DOI 1404
Award, U.V. Helava, ISPRS. Indoor scenes BibRef

Pintore, G.[Giovanni], Gobbetti, E.[Enrico],
Effective mobile mapping of multi-room indoor structures,
VC(30), No. 6-8, June 2014, pp. 707-716.
WWW Link. 1407
BibRef

Leigsnering, M., Amin, M., Ahmad, F., Zoubir, A.,
Multipath Exploitation and Suppression for SAR Imaging of Building Interiors: An overview of recent advances,
SPMag(31), No. 4, July 2014, pp. 110-119.
IEEE DOI 1407
Buildings BibRef

Shoaib, M.[Muhammad], Yang, M.Y.[Michael Ying], Rosenhahn, B.[Bodo], Ostermann, J.[Joern],
Estimating layout of cluttered indoor scenes using trajectory-based priors,
IVC(32), No. 11, 2014, pp. 870-883.
Elsevier DOI 1410
Scene segmentation BibRef

Lehtola, V.V.[Ville V.], Virtanen, J.P.[Juho-Pekka], Kukko, A.[Antero], Kaartinen, H.[Harri], Hyyppä, H.[Hannu],
Localization of mobile laser scanner using classical mechanics,
PandRS(99), No. 1, 2015, pp. 25-29.
Elsevier DOI 1502
Indoor. No inertial sensors. Mobile BibRef

Gupta, S.[Saurabh], Arbeláez, P.[Pablo], Girshick, R.[Ross], Malik, J.[Jitendra],
Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation,
IJCV(112), No. 2, April 2015, pp. 133-149.
Springer DOI 1504
BibRef
Earlier: A1, A3, A2, A4:
Learning Rich Features from RGB-D Images for Object Detection and Segmentation,
ECCV14(VII: 345-360).
Springer DOI 1408
BibRef
Earlier: A1, A2, A4, Only:
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images,
CVPR13(564-571)
IEEE DOI 1309
RGBD Recognition; RGBD Segmentation
See also Simultaneous Detection and Segmentation. BibRef

Girshick, R.[Ross], Donahue, J.[Jeff], Darrell, T.J.[Trevor J.], Malik, J.[Jitendra],
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation,
PAMI(38), No. 1, January 2016, pp. 142-158.
IEEE DOI 1601
BibRef
Earlier:
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,
CVPR14(580-587)
IEEE DOI 1409
Detectors BibRef

Rosser, J.[Julian], Morley, J.[Jeremy], Smith, G.[Gavin],
Modelling of Building Interiors with Mobile Phone Sensor Data,
IJGI(4), No. 2, 2015, pp. 989.
DOI Link 1507
BibRef

Thomson, C.[Charles], Boehm, J.[Jan],
Automatic Geometry Generation from Point Clouds for BIM,
RS(7), No. 9, 2015, pp. 11753.
DOI Link 1511
BibRef
Earlier:
Indoor Modelling Benchmark for 3D Geometry Extraction,
CloseRange14(581-587).
DOI Link 1411
BibRef

Chen, A.Y., Huang, T.[Ting],
Toward BIM-Enabled Decision Making for In-Building Response Missions,
ITS(16), No. 5, October 2015, pp. 2765-2773.
IEEE DOI 1511
building materials BibRef

Park, S.J.[Seong-Jin], Hong, K.S.[Ki-Sang],
Video semantic object segmentation by self-adaptation of DCNN,
PRL(112), 2018, pp. 249-255.
Elsevier DOI 1809
Video semantic segmentation, Video object segmentation, Deep convolutional neural network BibRef

Romero-González, C.[Cristina], Martínez-Gómez, J.[Jesus], García-Varea, I.[Ismael], Rodríguez-Ruiz, L.[Luis],
3D Spatial Pyramid: Descriptors generation from point clouds for indoor scene classification,
MVA(27), No. 2, February 2016, pp. 263-273.
Springer DOI 1602
BibRef

Khan, S.H.[Salman H.], Bennamoun, M.[Mohammed], Sohel, F.A.[Ferdous A.], Togneri, R.[Roberto], Naseem, I.[Imran],
Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images,
IJCV(117), No. 1, March 2016, pp. 1-20.
Springer DOI 1604
BibRef
Earlier: A1, A2, A3, A4, Only:
Geometry Driven Semantic Labeling of Indoor Scenes,
ECCV14(I: 679-694).
Springer DOI 1408
RGBD data. BibRef

Khan, S.H.[Salman H.], Hayat, M.[Munawar], Bennamoun, M.[Mohammed], Togneri, R.[Roberto], Sohel, F.A.[Ferdous A.],
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,
IP(25), No. 7, July 2016, pp. 3372-3383.
IEEE DOI 1606
convolution BibRef

Pintore, G.[Giovanni], Ganovelli, F.[Fabio], Gobbetti, E.[Enrico], Scopigno, R.[Roberto],
Mobile Mapping and Visualization of Indoor Structures to Simplify Scene Understanding and Location Awareness,
ACVR16(II: 130-145).
Springer DOI 1611
BibRef

Quintana, B., Prieto, S.A., Adán, A., Vázquez, A.S.,
Autonomous Scanning of Structural Elements in Buildings,
CIARP16(60-67).
Springer DOI 1703
BibRef

Loch-Dehbi, S.[Sandra], Dehbi, Y.[Youness], Plümer, L.[Lutz],
Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Thomas, D.[Diego], Sugimoto, A.[Akihiro],
Modeling large-scale indoor scenes with rigid fragments using RGB-D cameras,
CVIU(157), No. 1, 2017, pp. 103-116.
Elsevier DOI 1704
3D Modeling BibRef

Kim, S., Manduchi, R.[Roberto],
Multi-planar Fitting in an Indoor Manhattan World,
WACV17(11-19)
IEEE DOI 1609
Cameras, Clustering algorithms, Computational modeling, Data models, Estimation, Geometry, Robustness BibRef

Hofer, M.[Manuel], Maurer, M.[Michael], Bischof, H.[Horst],
Efficient 3D scene abstraction using line segments,
CVIU(157), No. 1, 2017, pp. 167-178.
Elsevier DOI 1704
BibRef
Earlier:
Line3D: Efficient 3D Scene Abstraction for the Built Environment,
GCPR15(237-248).
Springer DOI 1511
Structure-from-Motion BibRef

Günther, M.[Martin], Wiemann, T.[Thomas], Albrecht, S.[Sven], Hertzberg, J.[Joachim],
Model-based furniture recognition for building semantic object maps,
AI(247), No. 1, 2017, pp. 336-351.
Elsevier DOI 1705
Semantic, map BibRef

Kang, H.K.[Hae-Kyong], Li, K.J.[Ki-Joune],
A Standard Indoor Spatial Data Model: OGC IndoorGML and Implementation Approaches,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Jung, J.[Jaehoon], Stachniss, C.[Cyrill], Kim, C.J.[Chang-Jae],
Automatic Room Segmentation of 3D Laser Data Using Morphological Processing,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lehtola, V.V.[Ville V.], Kaartinen, H.[Harri], Nüchter, A.[Andreas], Kaijaluoto, R.[Risto], Kukko, A.[Antero], Litkey, P.[Paula], Honkavaara, E.[Eija], Rosnell, T.[Tomi], Vaaja, M.T.[Matti T.], Virtanen, J.P.[Juho-Pekka], Kurkela, M.[Matti], El Issaoui, A.[Aimad], Zhu, L.L.[Ling-Li], Jaakkola, A.[Anttoni], Hyyppä, J.[Juha],
Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Liu, M.M.[Ming-Ming], Guo, Y.[Yanwen], Wang, J.[Jun],
Indoor scene modeling from a single image using normal inference and edge features,
VC(33), No. 10, October 2017, pp. 1227-1240.
WWW Link. 1709
BibRef

Michailidis, G.T.[Georgios-Tsampikos], Pajarola, R.[Renato],
Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments,
VC(33), No. 10, October 2017, pp. 1347-1355.
WWW Link. 1709
BibRef

Zakhor, A.[Avideh],
Fast, automated 3D modeling of building interiors,
SPIE(Newsroom), September 21, 2017.
DOI Link 1711
A mapping and visualization platform for 3D modeling and documentation of indoor environments. BibRef

Liu, Y.[Yuan], Wang, J.[Jun], Song, J.W.[Jing-Wei], Song, Z.[Zihui],
Globally Consistent Indoor Mapping via a Decoupling Rotation and Translation Algorithm Applied to RGB-D Camera Output,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Lin, Z.Y.[Zhi-Yong], Xu, Z.M.[Zhi-Min], Hu, D.[Dan], Hu, Q.[Qinwu], Li, W.J.[Wen-Jing],
Hybrid Spatial Data Model for Indoor Space: Combined Topology and Grid,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Jiao, J.[Jichao], Yuan, L.[Libin], Tang, W.H.[Wei-Hua], Deng, Z.L.[Zhong-Liang], Wu, Q.[Qi],
A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
RGB-D. BibRef

Liu, X.B.[Xiao-Bai], Zhao, Y.B.[Yi-Biao], Zhu, S.C.[Song-Chun],
Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar,
PAMI(40), No. 3, March 2018, pp. 710-725.
IEEE DOI 1802
BibRef
Earlier:
Single-View 3D Scene Parsing by Attributed Grammar,
CVPR14(684-691)
IEEE DOI 1409
Buildings, Cameras, Grammar, Image reconstruction, Semantics, scene parsing. 3d;attributed grammar;scene parsing BibRef

Zhao, Y.B.[Yi-Biao], Zhu, S.C.[Song-Chun],
Scene Parsing by Integrating Function, Geometry and Appearance Models,
CVPR13(3119-3126)
IEEE DOI 1309
affordance Indoor functional objects. BibRef

Chen, C.[Chi], Yang, B.S.[Bi-Sheng], Song, S.[Shuang], Tian, M.[Mao], Li, J.P.[Jian-Ping], Dai, W.X.[Wen-Xia], Fang, L.[Lina],
Calibrate Multiple Consumer RGB-D Cameras for Low-Cost and Efficient 3D Indoor Mapping,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Chen, C.[Chi], Yang, B.S.[Bi-Sheng], Song, S.[Shuang],
Low Cost And Efficient 3d Indoor Mapping Using Multiple Consumer Rgb-d Cameras,
ISPRS16(B1: 169-174).
DOI Link 1610
BibRef

Lau, L.[Lawrence], Quan, Y.M.[Yi-Ming], Wan, J.J.[Jing-Jing], Zhou, N.[Ning], Wen, C.H.[Cong-Hua], Qian, N.[Nie], Jing, F.[Faming],
An Autonomous Ultra-Wide Band-Based Attitude and Position Determination Technique for Indoor Mobile Laser Scanning,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

He, F.N.[Fang-Ning], Habib, A.[Ayman],
Three-point-based solution for automated motion parameter estimation of a multi-camera indoor mapping system with planar motion constraint,
PandRS(142), 2018, pp. 278-291.
Elsevier DOI 1807
Motion estimation, Relative orientation, Multi-camera, Structure from motion, Bundle adjustment, Indoor mapping BibRef

Wang, C.[Cheng], Hou, S.W.[Shi-Wei], Wen, C.[Chenglu], Gong, Z.[Zheng], Li, Q.[Qing], Sun, X.T.[Xiao-Tian], Li, J.[Jonathan],
Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud,
PandRS(143), 2018, pp. 150-166.
Elsevier DOI 1808
Point clouds, Indoor modeling, Mobile laser scanning, Line framework extraction, Semantic labeling BibRef

Li, L.[Lin], Su, F.[Fei], Yang, F.[Fan], Zhu, H.H.[Hai-Hong], Li, D.L.[Da-Lin], Zuo, X.K.[Xin-Kai], Li, F.[Feng], Liu, Y.[Yu], Ying, S.[Shen],
Reconstruction of Three-Dimensional (3D) Indoor Interiors with Multiple Stories via Comprehensive Segmentation,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Zhao, P.C.[Peng-Cheng], Hu, Q.W.[Qing-Wu], Wang, S.H.[Shao-Hua], Ai, M.Y.[Ming-Yao], Mao, Q.Z.[Qing-Zhou],
Panoramic Image and Three-Axis Laser Scanner Integrated Approach for Indoor 3D Mapping,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Pang, Y.Y.[Yue-Yong], Zhang, C.[Chi], Zhou, L.C.[Liang-Chen], Lin, B.X.[Bing-Xian], Lv, G.N.[Guo-Nian],
Extracting Indoor Space Information in Complex Building Environments,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Ren, Y.Z.[Yu-Zhuo], Chen, C.[Chen], Li, S.W.[Shang-Wen], Kuo, C.C.J.[C.C. Jay],
Context-Assisted 3D (C3D) Object Detection from RGB-D Images,
JVCIR(55), 2018, pp. 131-141.
Elsevier DOI 1809
3D Object Detection, Indoor Scene Understanding, Convolutional Neural Network, Conditional Random Field BibRef

Poux, F.[Florent], Neuville, R.[Romain], Nys, G.A.[Gilles-Antoine], Billen, R.[Roland],
3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Tabkha, A., Hajji, R., Billen, R., Poux, F.,
Semantic Enrichment of Point Cloud By Automatic Extraction And Enhancement of 360° Panoramas,
LC3D19(355-362).
DOI Link 1912
BibRef

Nikoohemat, S.[Shayan], Peter, M.[Michael], Oude Elberink, S.[Sander], Vosselman, G.[George],
Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Elseicy, A.[Ahmed], Nikoohemat, S.[Shayan], Peter, M.[Michael], Oude Elberink, S.[Sander],
Space Subdivision of Indoor Mobile Laser Scanning Data Based on the Scanner Trajectory,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Ding, Y.L.[You-Li], Zheng, X.W.[Xian-Wei], Zhou, Y.[Yan], Xiong, H.J.[Han-Jiang], Gong, J.Y.[Jian-Ya],
Low-Cost and Efficient Indoor 3D Reconstruction through Annotated Hierarchical Structure-from-Motion,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Shi, W.Z.[Wen-Zhong], Ahmed, W.[Wael], Li, N.[Na], Fan, W.Z.[Wen-Zheng], Xiang, H.D.[Hao-Dong], Wang, M.Y.[Mu-Yang],
Semantic Geometric Modelling of Unstructured Indoor Point Cloud,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Tran, H., Khoshelham, K., Kealy, A.,
Geometric comparison and quality evaluation of 3D models of indoor environments,
PandRS(149), 2019, pp. 29-39.
Elsevier DOI 1903
3D reconstruction, Automation, Point cloud, Building information modelling (BIM), Quality evaluation, Indoor navigation BibRef

Karam, S.[Samer], Vosselman, G.[George], Peter, M.[Michael], Hosseinyalamdary, S.[Siavash], Lehtola, V.[Ville],
Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Hu, X.[Xuke], Fan, H.C.[Hong-Chao], Noskov, A.[Alexey], Zipf, A.[Alexander], Wang, Z.Y.[Zhi-Yong], Shang, J.[Jianga],
Feasibility of Using Grammars to Infer Room Semantics,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Liu, T., Wei, Y., Zhao, Y., Liu, S., Wei, S.,
Magic-Wall: Visualizing Room Decoration by Enhanced Wall Segmentation,
IP(28), No. 9, Sep. 2019, pp. 4219-4232.
IEEE DOI 1908
convolutional neural nets, image colour analysis, image segmentation, walls, Magic-wall, wall regions, edge detection BibRef

Michailidis, G.T.[Georgios-Tsampikos], Pajarola, R.[Renato],
ASPIRE: Automatic scanner position reconstruction,
VC(35), No. 9, September 2018, pp. 1209-1221.
Springer DOI 1908
BibRef

Maheshwari, N.[Nishith], Srivastava, S.[Srishti], Rajan, K.S.[Krishnan Sundara],
Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Koeva, M.[Mila], Nikoohemat, S.[Shayan], Oude Elberink, S.[Sander], Morales, J.[Javier], Lemmen, C.[Christiaan], Zevenbergen, J.[Jaap],
Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Cui, Y.[Yang], Li, Q.Q.[Qing-Quan], Dong, Z.[Zhen],
Structural 3D Reconstruction of Indoor Space for 5G Signal Simulation with Mobile Laser Scanning Point Clouds,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Wilson, S.[Scott], Potgieter, J.[Johan], Arif, K.M.[Khalid Mahmood],
Robot-Assisted Floor Surface Profiling Using Low-Cost Sensors,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zhao, X.[Xi], Su, Z.Q.A.[Zhen-Qi-Ang], Komura, T.[Taku], Yang, X.Y.[Xin-Yu],
Building hierarchical structures for 3D scenes with repeated elements,
VC(36), No. 2, February 2020, pp. 361-374.
Springer DOI 2002
Desks in classroooms. BibRef

Tran, H.[Ha], Khoshelham, K.[Kourosh],
Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Nie, Y.Y.[Yin-Yu], Guo, S.H.[Shi-Hui], Chang, J.[Jian], Han, X.G.[Xiao-Guang], Huang, J.H.[Jia-Hui], Hu, S.M.[Shi-Min], Zhang, J.J.[Jian Jun],
Shallow2Deep: Indoor scene modeling by single image understanding,
PR(103), 2020, pp. 107271.
Elsevier DOI 2005
Scene understanding, Image-based modeling, Semantic modeling, Relational reasoning BibRef

Yang, J., Xu, J., Li, K., Lai, Y., Yue, H., Lu, J., Wu, H., Liu, Y.,
Learning to Reconstruct and Understand Indoor Scenes From Sparse Views,
IP(29), 2020, pp. 5753-5766.
IEEE DOI 2005
Semantics, Image segmentation, Estimation, Image reconstruction, Color, Cameras, 3D reconstruction, sparse views BibRef

Huang, M.[Ming], Wu, X.Y.[Xue-Yu], Liu, X.L.[Xiang-Lei], Meng, T.H.[Tian-Hang], Zhu, P.Y.[Pei-Yuan],
Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Zhou, T.[Tian], Hasheminasab, S.M.[Seyyed Meghdad], Ravi, R.[Radhika], Habib, A.[Ayman],
LiDAR-Aided Interior Orientation Parameters Refinement Strategy for Consumer-Grade Cameras Onboard UAV Remote Sensing Systems,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Wu, H.B.[Hang-Bin], Yang, H.M.[Hui-Min], Huang, S.Y.[Sheng-Yu], Zeng, D.D.[Dou-Dou], Liu, C.[Chun], Zhang, H.[Hao], Guo, C.[Chi], Chen, L.[Long],
Classification of Point Clouds for Indoor Components Using Few Labeled Samples,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Bassier, M.[Maarten], Vergauwen, M.[Maarten], Poux, F.[Florent],
Point Cloud vs. Mesh Features for Building Interior Classification,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Ingman, M.[Matias], Virtanen, J.P.[Juho-Pekka], Vaaja, M.T.[Matti T.], Hyyppä, H.[Hannu],
A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Shi, P.C.[Peng-Cheng], Ye, Q.[Qin], Zeng, L.[Lingwen],
A Novel Indoor Structure Extraction Based on Dense Point Cloud,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Kim, S.H.[Sung-Hwan], Li, K.J.[Ki-Joune], Cho, H.G.[Hwan-Gue],
A Flexible Framework for Covering and Partitioning Problems in Indoor Spaces,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Jia, S.J.[Shou-Jun], Liu, C.[Chun], Wu, H.B.[Hang-Bin], Zeng, D.D.[Dou-Dou], Ai, M.C.[Meng-Chi],
A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario,
PandRS(171), 2021, pp. 367-384.
Elsevier DOI 2012
High-accuracy 2D map, Indoor modeling, Cross-correction SLAM, Mobile LiDAR, Problematic scenario BibRef

Wu, K.[Ke], Shi, W.Z.[Wen-Zhong], Ahmed, W.[Wael],
Structural Elements Detection and Reconstruction (SEDR): A Hybrid Approach for Modeling Complex Indoor Structures,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Gong, Z., Li, J., Luo, Z., Wen, C., Wang, C., Zelek, J.,
Mapping and Semantic Modeling of Underground Parking Lots Using a Backpack LiDAR System,
ITS(22), No. 2, February 2021, pp. 734-746.
IEEE DOI 2102
Semantics, Laser radar, Simultaneous localization and mapping, Lasers, semantic modeling BibRef

Zou, C.H.[Chu-Hang], Su, J.W.[Jheng-Wei], Peng, C.H.[Chi-Han], Colburn, A.[Alex], Shan, Q.[Qi], Wonka, P.[Peter], Chu, H.K.[Hung-Kuo], Hoiem, D.[Derek],
Manhattan Room Layout Reconstruction from a Single 360° Image: A Comparative Study of State-of-the-Art Methods,
IJCV(129), No. 5, May 2021, pp. 1410-1431.
Springer DOI 2105
BibRef

Huan, L.X.[Lin-Xi], Zheng, X.W.[Xian-Wei], Tang, S.J.[Sheng-Jun], Gong, J.Y.[Jian-Ya],
Learning deep cross-scale feature propagation for indoor semantic segmentation,
PandRS(176), 2021, pp. 42-53.
Elsevier DOI 2106
Indoor scene parsing, Semantic segmentation, Deep learning, Cross-scale feature propagation BibRef

Han, J.L.[Jia-Li], Rong, M.Q.[Meng-Qi], Jiang, H.Q.[Han-Qing], Liu, H.M.[Hong-Min], Shen, S.H.[Shu-Han],
Vectorized indoor surface reconstruction from 3D point cloud with multistep 2D optimization,
PandRS(177), 2021, pp. 57-74.
Elsevier DOI 2106
Indoor reconstruction, Vectorized model, Multistep 2D optimization, LoD, Semantic segmentation BibRef

Fang, H.[Hao], Pan, C.[Cihui], Huang, H.[Hui],
Structure-aware indoor scene reconstruction via two levels of abstraction,
PandRS(178), 2021, pp. 155-170.
Elsevier DOI 2108
Indoor scene reconstruction, Point cloud, Mesh processing, Primitive detection, Space partitioning, Markov random field, Surface reconstruction BibRef

Li, C.[Chang], Guan, T.R.[Tian-Rong], Yang, M.[Meng], Zhang, C.[Ce],
Combining data-and-model-driven 3D modelling (CDMD3DM) for small indoor scenes using RGB-D data,
PandRS(180), 2021, pp. 1-13.
Elsevier DOI 2109
Combining data-and-model-driven 3D modelling (CDMD3DM), Indoor scene, RGB-D, Generalized point photogrammetry, Instance segmentation BibRef

Hübner, P.[Patrick], Weinmann, M.[Martin], Wursthorn, S.[Sven], Hinz, S.[Stefan],
Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes,
PandRS(181), 2021, pp. 254-278.
Elsevier DOI 2110
Indoor reconstruction, 3D, Triangle mesh, Voxelization, Classification, Evaluation, Benchmark data, Microsoft HoloLens BibRef

Wang, Y.[Yu], Zhang, Z.X.[Zhen-Xin], Zhong, R.F.[Ruo-Fei], Sun, L.[Lan], Leng, S.Y.[Si-Yi], Wang, Q.[Qiang],
Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds,
PandRS(182), 2021, pp. 67-77.
Elsevier DOI 2112
Indoor point clouds, Joint semantic and instance segmentation, Dense connection, Graph convolutional network, Deep learning BibRef

Zhao, J., Zhang, X., Wang, Y.,
Indoor 3d Point Clouds Semantic Segmentation Bases on Modified Pointnet Network,
ISPRS20(B2:369-373).
DOI Link 2012
BibRef

Kim, H.S.[Han-Sung], Remaggi, L.[Luca], Fowler, S.[Sam], Jackson, P.J.[Philip JB], Hilton, A.[Adrian],
Acoustic Room Modelling Using 360 Stereo Cameras,
MultMed(23), 2021, pp. 4117-4130.
IEEE DOI 2112
Acoustics, Cameras, Geometry, Semantics, Image reconstruction, Estimation, Indoor geometry reconstruction, Geometrical acoustics BibRef

Chen, J.J.[Jun-Jie], Niu, L.[Li], Zhang, L.Q.[Li-Qing],
Depth Privileged Scene Recognition via Dual Attention Hallucination,
IP(30), 2021, pp. 9164-9178.
IEEE DOI 2112
Modulation, Feature extraction, Training, Image recognition, Convolution, Sun, Computer science, Indoor scene recognition, attention transfer BibRef

Yang, F.[Fan], Che, M.L.[Ming-Liang], Zuo, X.K.[Xin-Kai], Li, L.[Lin], Zhang, J.[Jiyi], Zhang, C.[Chi],
Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room Segmentation,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Hübner, P.[Patrick], Weinmann, M.[Martin], Wursthorn, S.[Sven], Hinz, S.[Stefan],
Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cheng, D.Y.[Dong-Yang], Zhang, J.C.[Jun-Chao], Zhao, D.J.[Dang-Jun], Chen, J.L.[Jian-Lai], Tian, D.[Di],
Automatic Extraction of Indoor Structural Information from Point Clouds,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, Z.H.[Zheng-Hua], Chen, G.L.[Guo-Liang], Wang, X.[Xuan], Shu, M.[Mingcong],
Fore-Net: Efficient inlier estimation network for large-scale indoor scenario,
PandRS(184), 2022, pp. 165-176.
Elsevier DOI 2202
Inlier estimation, Low-overlapping point cloud registration, Indoor scenario, Point cloud denoising BibRef

Huan, L.X.[Lin-Xi], Zheng, X.W.[Xian-Wei], Gong, J.Y.[Jian-Ya],
GeoRec: Geometry-enhanced semantic 3D reconstruction of RGB-D indoor scenes,
PandRS(186), 2022, pp. 301-314.
Elsevier DOI 2203
Indoor 3D modeling, Semantic reconstruction, Deep learning, RGB-D scene BibRef

Chen, P.X.[Peng-Xin], Luo, Z.P.[Zhi-Peng], Shi, W.Z.[Wen-Zhong],
Hysteretic mapping and corridor semantic modeling using mobile LiDAR systems,
PandRS(186), 2022, pp. 267-284.
Elsevier DOI 2203
Hysteretic mobile mapping, Feature equalizer, Semantic modeling BibRef

Wei, Y.[Yi], Guo, H.[Hengkai], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Iterative Feature Matching for Self-Supervised Indoor Depth Estimation,
CirSysVideo(32), No. 6, June 2022, pp. 3839-3852.
IEEE DOI 2206
Estimation, Feature extraction, Image reconstruction, Training, Pipelines, Indoor environment, Optimization, feature matching BibRef

Zhu, Z.J.[Zun-Jie], Xu, Z.F.[Zhe-Feng], Chen, R.L.[Ruo-Lin], Wang, T.Y.[Ting-Yu], Wang, C.[Can], Yan, C.G.[Cheng-Gang], Xu, F.[Feng],
FastFusion: Real-Time Indoor Scene Reconstruction with Fast Sensor Motion,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, T.F.[Teng-Fei], Wang, Q.[Qingdong], Ai, H.B.[Hai-Bin], Zhang, L.[Li],
Semantics-and-Primitives-Guided Indoor 3D Reconstruction from Point Clouds,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Bian, J.W.[Jia-Wang], Zhan, H.Y.[Huang-Ying], Wang, N.Y.[Nai-Yan], Chin, T.J.[Tat-Jun], Shen, C.H.[Chun-Hua], Reid, I.D.[Ian D.],
Auto-Rectify Network for Unsupervised Indoor Depth Estimation,
PAMI(44), No. 12, December 2022, pp. 9802-9813.
IEEE DOI 2212
Cameras, Videos, Training, Geometry, Estimation, Unsupervised learning, Single-view depth estimation, unsupervised learning, image rectification BibRef

Gao, Z.[Ziren], Shen, Y.[Yi], Ma, J.S.[Jing-Song], Shen, J.[Jie], Zheng, J.[Jing],
Automatic Clustering of Indoor Area Features in Shopping Malls,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ren, D.R.[Dong-Ran], Yang, M.[Meng], Wu, J.F.[Jiang-Fan], Zheng, N.N.[Nan-Ning],
Surface normal and Gaussian weight constraints for indoor depth structure completion,
PR(138), 2023, pp. 109362.
Elsevier DOI 2303
Depth structure completion, Surface normal, Gaussian weight, Convolution neural network, Markov random field, Kernel least-square method BibRef

Cai, G.[Guoray], Pan, Y.[Yimu],
Automated Generation of Room Usage Semantics from Point Cloud Data,
IJGI(12), No. 10, 2023, pp. 427.
DOI Link 2311
BibRef

Tan, Y.[Yi], Liu, X.[Xin], Jin, S.[Shuaishuai], Wang, Q.[Qian], Wang, D.[Daochu], Xie, X.F.[Xiao-Feng],
A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Cho, S.[Seonmin], Kwak, S.[Seungheon], Lee, S.[Seongwook],
Instantaneous Extraction of Indoor Environment from Radar Sensor-Based Mapping,
RS(16), No. 3, 2024, pp. 574.
DOI Link 2402
BibRef

Li, M.F.[Ming-Fan], Li, M.L.[Ming-Lei], Xu, L.[Li], Wei, M.Q.[Ming-Qiang],
Hybrid 3D Reconstruction of Indoor Scenes Integrating Object Recognition,
RS(16), No. 4, 2024, pp. 638.
DOI Link 2402
BibRef

Wang, X.[Xu], Kong, W.F.[Wei-Feng], Zhang, Q.[Qiudan], Yang, Y.[You], Zhao, T.S.[Tie-Song], Jiang, J.M.[Jian-Min],
Distortion-Aware Self-Supervised Indoor 360° Depth Estimation via Hybrid Projection Fusion and Structural Regularities,
MultMed(26), 2024, pp. 3998-4011.
IEEE DOI 2402
Estimation, Feature extraction, Distortion, Training, Self-supervised learning, Image reconstruction, Task analysis, structural regularity BibRef


Li, H.[Haoda], Yi, P.[Puyuan], Liu, Y.H.[Yun-Hao], Zahor, A.[Avideh],
Scalable MAV Indoor Reconstruction with Neural Implicit Surfaces,
CVAAD23(1536-1544)
IEEE DOI 2401
BibRef

Dong, M.Y.[Ming-Yue], Huan, L.[Linxi], Xiong, H.J.[Han-Jiang], Shen, S.H.[Shu-Han], Zheng, X.W.[Xian-Wei],
Shape Anchor Guided Holistic Indoor Scene Understanding,
ICCV23(21859-21869)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Z.Q.[Zi-Qi], Luo, F.[Fei], Long, X.X.[Xiao-Xiao], Zhang, W.X.[Wen-Xiao], Xiao, C.X.[Chun-Xia],
Learning Long-range Information with Dual-Scale Transformers for Indoor Scene Completion,
ICCV23(18523-18533)
IEEE DOI 2401
BibRef

Li, Z.Z.[Zi-Zhang], Lyu, X.Y.[Xiao-Yang], Ding, Y.Y.[Yuan-Yuan], Wang, M.M.[Meng-Meng], Liao, Y.[Yiyi], Liu, Y.[Yong],
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction,
ICCV23(17715-17725)
IEEE DOI Code:
WWW Link. 2401
BibRef

Dai, Y.H.[Yu-Hui], Zhang, J.[Junkang], Fang, F.[Faming], Zhang, G.X.[Gui-Xu],
Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior,
ICCV23(12321-12330)
IEEE DOI 2401
BibRef

Vavilala, V.[Vaibhav], Forsyth, D.[David],
Convex Decomposition of Indoor Scenes,
ICCV23(9142-9152)
IEEE DOI 2401
BibRef

Yeshwanth, C.[Chandan], Liu, Y.C.[Yueh-Cheng], Nießner, M.[Matthias], Dai, A.[Angela],
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes,
ICCV23(12-22)
IEEE DOI 2401
BibRef

Yin, R.[Ruihong], Karaoglu, S.[Sezer], Gevers, T.[Theo],
Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction,
ICCV23(3629-3638)
IEEE DOI 2401
BibRef

Liang, Z.H.[Zhi-Hao], Huang, Z.J.[Zhang-Jin], Ding, C.X.[Chang-Xing], Jia, K.[Kui],
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization,
CVPR23(13165-13174)
IEEE DOI 2309
BibRef

Chang, W.J.[Wen-Jie], Zhang, Y.[Yueyi], Xiong, Z.W.[Zhi-Wei],
Depth Estimation from Indoor Panoramas with Neural Scene Representation,
CVPR23(899-908)
IEEE DOI 2309
BibRef

Gomez, A.[Alan], Rilling, S.[Stefan], Herpers, R.[Rainer],
Superquadric Indoor Scene Representation for Orientation and Navigation Tasks,
ICPR22(3692-3698)
IEEE DOI 2212
Point cloud compression, Solid modeling, Image segmentation, Navigation, Shape, Linear programming BibRef

Sayed, M.[Mohamed], Gibson, J.[John], Watson, J.[Jamie], Prisacariu, V.A.[Victor A.], Firman, M.[Michael], Godard, C.[Clément],
SimpleRecon: 3D Reconstruction Without 3D Convolutions,
ECCV22(XXXIII:1-19).
Springer DOI 2211

WWW Link. BibRef

Chen, H.X.[Hao-Xiang], Huang, J.[Jiahui], Mu, T.J.[Tai-Jiang], Hu, S.M.[Shi-Min],
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene,
ECCV22(XXXII:506-522).
Springer DOI 2211
BibRef

Wang, J.[Jiepeng], Wang, P.[Peng], Long, X.X.[Xiao-Xiao], Theobalt, C.[Christian], Komura, T.[Taku], Liu, L.J.[Ling-Jie], Wang, W.P.[Wen-Ping],
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors,
ECCV22(XXXII:139-155).
Springer DOI 2211
BibRef

Liu, H.L.[Hao-Lin], Zheng, Y.J.[Yu-Jian], Chen, G.Y.[Guan-Ying], Cui, S.G.[Shu-Guang], Han, X.G.[Xiao-Guang],
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes,
ECCV22(I:429-446).
Springer DOI 2211
BibRef

Roberts, M.[Mike], Ramapuram, J.[Jason], Ranjan, A.[Anurag], Kumar, A.[Atulit], Bautista, M.A.[Miguel Angel], Paczan, N.[Nathan], Webb, R.[Russ], Susskind, J.M.[Joshua M.],
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding,
ICCV21(10892-10902)
IEEE DOI 2203
Training, Image segmentation, Costs, Computational modeling, Semantics, Datasets and evaluation, Scene analysis and understanding BibRef

Li, B.Y.[Bo-Ying], Huang, Y.[Yuan], Liu, Z.[Zeyu], Zou, D.P.[Dan-Ping], Yu, W.X.[Wen-Xian],
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation,
ICCV21(12643-12653)
IEEE DOI 2203
Training, Codes, Estimation, Benchmark testing, Predictive models, 3D from a single image and shape-from-x, Stereo, 3D from multiview and other sensors BibRef

Katzir, O.[Oren], Lischinski, D.[Dani], Cohen-Or, D.[Daniel],
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons,
ECCV22(III:468-484).
Springer DOI 2211
BibRef

Cao, J.M.[Jin-Ming], Leng, H.C.[Han-Chao], Lischinski, D.[Dani], Cohen-Or, D.[Danny], Tu, C.H.[Chang-He], Li, Y.Y.[Yang-Yan],
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation,
ICCV21(7068-7077)
IEEE DOI 2203
Geometry, Point cloud compression, Image segmentation, Convolution, Shape, Semantics, Segmentation, grouping and shape, Scene analysis and understanding BibRef

Jiang, H.L.[Hua-Lie], Ding, L.Y.[Lai-Yan], Hu, J.J.[Jun-Jie], Huang, R.[Rui],
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation,
3DV21(741-750)
IEEE DOI 2201
Point cloud compression, Geometry, Codes, Estimation, Reliability, Unsupervised learning, Depth Estimation, Indoor Scene, Unsupervised Learning BibRef

Zavar, H., Arefi, H., Malihi, S., Maboudi, M.,
Topology-Aware 3D Modelling of Indoor Spaces from Point Clouds,
ISPRS21(B4-2021: 267-274).
DOI Link 2201
BibRef

Wahbeh, W.,
Parametric Modelling Approach to Reconstructing Architectural Indoor Spaces From Point Clouds,
ISPRS21(B4-2021: 251-257).
DOI Link 2201
BibRef

Claridades, A.R.C., Kim, M., Park, S., Lee, J.,
Towards Representing Transitional Spaces: Developmental Direction for IndoorGML Anchor Node,
GeoInfo21(11-16).
DOI Link 2201
BibRef

Gopinathan, M.[Muraleekrishna], Truong, G.[Giang], Abu-Khalaf, J.[Jumana],
Indoor Semantic Scene Understanding Using 2D-3D Fusion,
DICTA21(1-8)
IEEE DOI 2201
Performance evaluation, Image segmentation, Solid modeling, Navigation, Semantics, Pipelines, Scene Understanding, 3D Object Detection BibRef

Sun, C.[Cheng], Hsiao, C.W.[Chi-Wei], Wang, N.H.[Ning-Hsu], Sun, M.[Min], Chen, H.T.[Hwann-Tzong],
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer,
CVPR21(11333-11342)
IEEE DOI 2111
Image segmentation, Estimation, Benchmark testing, Reconstruction algorithms, Cameras, Pattern recognition BibRef

Li, Z.Q.[Zheng-Qin], Yu, T.W.[Ting-Wei], Sang, S.[Shen], Wang, S.[Sarah], Song, M.[Meng], Liu, Y.H.[Yu-Han], Yeh, Y.Y.[Yu-Ying], Zhu, R.[Rui], Gundavarapu, N.[Nitesh], Shi, J.[Jia], Bi, S.[Sai], Yu, H.X.[Hong-Xing], Xu, Z.X.[Ze-Xiang], Sunkavalli, K.[Kalyan], Hašan, M.[Miloš], Ramamoorthi, R.[Ravi], Chandraker, M.[Manmohan],
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets,
CVPR21(7186-7195)
IEEE DOI 2111
Geometry, Image segmentation, Shape, Semantics, Layout, Lighting, Tools BibRef

Rao, S.[Shivansh], Kumar, V.[Vikas], Kifer, D.[Daniel], Giles, C.L.[C. Lee], Mali, A.[Ankur],
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas,
OmniCV21(3701-3710)
IEEE DOI 2109
Convolutional codes, Layout, Benchmark testing, Distortion, Predistortion, Pattern recognition BibRef

Gkitsas, V.[Vasileios], Sterzentsenko, V.[Vladimiros], Zioulis, N.[Nikolaos], Albanis, G.[Georgios], Zarpalas, D.[Dimitrios],
PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes,
OmniCV21(3711-3721)
IEEE DOI 2109
Measurement, Image segmentation, Predictive models, Planning, Pattern recognition BibRef

Albanis, G.[Georgios], Zioulis, N.[Nikolaos], Piniotis, G., Soile, S., Bourexis, F., Tsakiri, M., Ioannidis, C.C.,
Experimental Assessment of 3d Narrow Space Mapping Technologies,
ISPRS20(B2:149-156).
DOI Link 2012
BibRef

Diakité, A.A., Zlatanova, S., Alattas, A.F.M., Li, K.J.,
Towards IndoorGML 2.0: Updates and Case Study Illustrations,
ISPRS20(B4:337-344).
DOI Link 2012
BibRef

Poux, F., Ponciano, J.J.,
Self-learning Ontology for Instance Segmentation of 3d Indoor Point Cloud,
ISPRS20(B2:309-316).
DOI Link 2012
BibRef

Mascitelli, A., Ravanelli, M., Mattoccia, S., Berardocco, C., Mazzoni, A.,
A Complete Fos Approach for Indoor Crowdsourced Mapping: Case Study On Sapienza University of Rome Faculties,
ISPRS20(B4:361-365).
DOI Link 2012
BibRef

Gülch, E., Obrock, L.,
Automated Semantic Modelling of Building Interiors From Images And Derived Point Clouds Based on Deep Learning Methods,
ISPRS20(B2:421-426).
DOI Link 2012
BibRef

Wu, T., Vallet, B., Demonceaux, C., Liu, J.,
Moving Objects Aware Sensor Mesh Fusion for Indoor Reconstruction From A Couple of 2d Lidar Scans,
ISPRS20(B2:507-514).
DOI Link 2012
BibRef

Lovas, T., Hadzijanisz, K., Papp, V., Somogyi, A.J.,
Indoor Building Survey Assessment,
ISPRS20(B1:251-257).
DOI Link 2012
BibRef

Poux, F., Mattes, C., Kobbelt, L.,
Unsupervised Segmentation of Indoor 3d Point Cloud: Application To Object-based Classification,
GeoInfo20(111-118).
DOI Link 2012
BibRef

Salgues, H., Macher, H., Landes, T.,
Evaluation of Mobile Mapping Systems for Indoor Surveys,
GeoInfo20(119-125).
DOI Link 2012
BibRef

Sarmiento, A., Diakité, A.A.,
Integration of IOT Sensors to 3d Indoor Models with IndoorGML,
GeoInfo20(135-142).
DOI Link 2012
BibRef

Khoshelham, K., Tran, H., Acharya, D., Vilariño, L.D.[L. Díaz], Kang, Z., Dalyot, S.,
The ISPRS Benchmark on Indoor Modelling - Preliminary Results,
ISPRS20(B5:207-211).
DOI Link 2012
BibRef

Yu, Z.[Zehao], Jin, L.[Lei], Gao, S.H.[Sheng-Hua],
P2 Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation,
ECCV20(XXIV:206-222).
Springer DOI 2012
BibRef

Jiang, Z., Liu, B., Schulter, S., Wang, Z., Chandraker, M.,
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations,
CVPR20(110-118)
IEEE DOI 2008
Cognition, Layout, Training, Semantics, Predictive models, Measurement BibRef

Jin, L., Xu, Y., Zheng, J., Zhang, J., Tang, R., Xu, S., Yu, J., Gao, S.,
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery,
CVPR20(886-895)
IEEE DOI 2008
Estimation, Convolution, Layout, Programmable logic arrays, Task analysis, Feeds BibRef

Wald, J., Dhamo, H., Navab, N., Tombari, F.,
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions,
CVPR20(3960-3969)
IEEE DOI 2008
Semantics, Solid modeling, Task analysis, Image edge detection, Image segmentation BibRef

Xiong, Z., Yuan, Y., Guo, N., Wang, Q.,
Variational Context-Deformable ConvNets for Indoor Scene Parsing,
CVPR20(3991-4001)
IEEE DOI 2008
Convolution, Kernel, Semantics, Image segmentation, Standards BibRef

Liu, K., Shen, Y., Klopp, J., Chen, L.,
What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing,
ICCV19(7344-7353)
IEEE DOI 2004
image colour analysis, supervised learning, indoor scene parsing SUN RGB-D dataset, gHeating systems BibRef

Zhou, J., Wang, Y., Qin, K., Zeng, W.,
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments,
ICCV19(8617-8626)
IEEE DOI 2004
cameras, image colour analysis, image segmentation, image sequences, image texture, object detection, Indoor environments BibRef

Sengupta, S., Gu, J., Kim, K., Liu, G., Jacobs, D., Kautz, J.,
Neural Inverse Rendering of an Indoor Scene From a Single Image,
ICCV19(8597-8606)
IEEE DOI 2004
image reconstruction, learning (artificial intelligence), rendering (computer graphics), neural inverse rendering, Face BibRef

Zhou, Y., While, Z., Kalogerakis, E.,
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation,
ICCV19(7383-7391)
IEEE DOI 2004
graph theory, image representation, learning (artificial intelligence), message passing, Task analysis BibRef

Ritchie, D.[Daniel], Wang, K.[Kai], Lin, Y.A.[Yu-An],
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models,
CVPR19(6175-6183).
IEEE DOI 2002
BibRef

Kostoeva, R., Upadhyay, R., Sapar, Y., Zakhor, A.,
Indoor 3d Interactive Asset Detection Using a Smartphone,
Indoor3D19(811-817).
DOI Link 1912
IoT sensors, thermostats, fire sprinklers, EXIT signs, fire alarms, smoke detectors, routers etc. BibRef

Ding, Y., Zheng, X., Xiong, H., Zhang, Y.,
Semantic Segmentation of Indoor 3d Point Cloud With Slenet,
Indoor3D19(785-791).
DOI Link 1912
BibRef

Khoshelham, K., Tran, H., Acharya, D.,
Indoor Mapping Eyewear: Geometric Evaluation of Spatial Mapping Capability of Hololens,
Indoor3D19(805-810).
DOI Link 1912
BibRef

Capocchiano, F., Ravanelli, R.,
An Original Algorithm for BIM Generation From Indoor Survey Point Clouds,
Indoor3D19(769-776).
DOI Link 1912
BibRef

Mukhtar, N.F., Azri, S., Ujang, U., Cuétara, M.G., Retortillo, G.M., Mohd Salleh, S.,
3d Model for Indoor Spaces Using Depth Sensor,
GGT19(471-479).
DOI Link 1912
BibRef

Hasler, O., Blaser, S., Nebiker, S.,
Implementation and First Evaluation of An Indoor Mapping Application Using Smartphones and AR Frameworks,
LC3D19(135-141).
DOI Link 1912
BibRef

Karam, S., Lehtola, V., Vosselman, G.,
Integrating a Low-cost Mems Imu Into a Laser-based Slam for Indoor Mobile Mapping,
LC3D19(149-156).
DOI Link 1912
BibRef

León-Vega, H.A., Rodríguez-Laitón, M.I.,
Fisheye Lens Image Capture Analysis for Indoor 3d Reconstruction And Evaluation,
LC3D19(179-186).
DOI Link 1912
BibRef

Stojanovic, V., Trapp, M., Richter, R., Döllner, J.,
A Service-oriented Indoor Point Cloud Processing Pipeline,
LC3D19(339-346).
DOI Link 1912
BibRef

Hashim, M.N., Hassan, M.I., Abdul Rahman, A.,
Mobile Indoor Laser Scanning for 3d Strata Registration Purposes Based On Indoorgml,
GGT19(241-245).
DOI Link 1912
BibRef

Tessema, L.S., Jaeger, R., Stilla, U.,
A Mathematical Sensor Model for Indoor Use of a Multi-beam Rotating 3d Lidar,
PIA19(227-234).
DOI Link 1912
BibRef

Wang, C., Dai, Y., El-Sheimy, N., Wen, C., Retscher, G., Kang, Z., Lingua, A.,
Progress On Isprs Benchmark On Multisensory Indoor Mapping And Positioning,
EuroCOW-M3DMaN19(1709-1713).
DOI Link 1912
BibRef

Masiero, A., Fissore, F., Antonello, R., Cenedese, A., Vettore, A.,
A Comparison of Uwb and Motion Capture UAV Indoor Positioning,
EuroCOW-M3DMaN19(1695-1699).
DOI Link 1912
BibRef

Wu, W., Chen, C., Cong, Y., Dong, Z., Li, J., Li, S., Dai, W., Yang, B.,
Low-cost Wheeled Robot-borne Laser Scanning System for Indoor And Outdoor 3d Mapping Application,
Laser19(1155-1159).
DOI Link 1912
BibRef

Eder, M., Moulon, P., Guan, L.,
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network,
3DV19(76-84)
IEEE DOI 1911
Estimation, Task analysis, Layout, Network architecture, Cameras, Deep learning, 360 images, 3d reconstruction BibRef

Lafuente-Arroyo, S.[Sergio], Maldonado-Bascón, S.[Saturnino], Gómez-Moreno, H.[Hilario], Alén-Cordero, C.[Cristina],
Segmentation in Corridor Environments: Combining Floor and Ceiling Detection,
IbPRIA19(II:485-496).
Springer DOI 1910
BibRef

Coudron, I.[Inge], Puttemans, S.[Steven], Goedemé, T.[Toon],
Polygonal Reconstruction of Building Interiors from Cluttered Pointclouds,
3D-Wild18(I:459-472).
Springer DOI 1905
BibRef

Previtali, M., Barazzetti, L., Roncoroni, F.,
Automated Detection and Layout Regularization of Similar Features In Indoor Point Cloud,
3DARCH19(631-638).
DOI Link 1904
BibRef

Cantoni, S., Vassena, G.,
Fast Indoor Mapping to Feed an Indoor DB for Building and Facility Management,
3DARCH19(213-217).
DOI Link 1904
BibRef

Barazzetti, L., Previtali, M., Roncoroni, F., Valente, R.,
Connecting Inside and Outside Through 360° Imagery for Close-range Photogrammetry,
3DARCH19(87-92).
DOI Link 1904
BibRef

Kim, J.S.[Joon-Seok], Li, K.J.[Ki-Joune],
Simplification of geometric objects in an indoor space,
PandRS(147), 2019, pp. 146-162.
Elsevier DOI 1901
Simplification, Level of detail (LoD), Indoor space, 3D model, Prism model BibRef

Fowler, S.[Sam], Kim, H.S.[Han-Sung], Hilton, A.[Adrian],
Human-Centric Scene Understanding from Single View 360 Video,
3DV18(334-342)
IEEE DOI 1812
image colour analysis, image motion analysis, image reconstruction, image representation, image segmentation, human-scene interaction BibRef

Wang, C., Guo, X.,
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes,
3DV18(533-541)
IEEE DOI 1812
cameras, geometry, image colour analysis, image reconstruction, image texture, mesh generation, optimisation, texture optimization BibRef

Qi, S., Zhu, Y., Huang, S., Jiang, C., Zhu, S.,
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar,
CVPR18(5899-5908)
IEEE DOI 1812
Grammar, Layout, Probabilistic logic, Monitoring, Task analysis, Stochastic processes BibRef

Chang, M., Guo, F., Ji, R.,
Depth-assisted RefineNet for Indoor Semantic Segmentation,
ICPR18(1845-1850)
IEEE DOI 1812
image colour analysis, image segmentation, indoor environment, depth-assisted RefineNet, indoor semantic segmentation, Image edge detection BibRef

Maset, E., Magri, L., Fusiello, A.,
Improving Automatic Reconstruction of Interior Walls From Point Cloud Data,
Indoor3D19(849-855).
DOI Link 1912
BibRef
Earlier: A2, A3, Only:
Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage,
3DV18(131-139)
IEEE DOI 1812
feature extraction, image matching, image reconstruction, solid modelling, point cloud data, interior environment, scan2bim BibRef

Purkait, P., Bonde, U., Zach, C.,
Weakly Supervised Learning of Indoor Geometry by Dual Warping,
3DV18(738-746)
IEEE DOI 1812
computational geometry, image colour analysis, learning (artificial intelligence), computational costs, dual warping BibRef

Liu, M., Zhang, Y., He, J., Guo, J., Guo, Y.,
Image-Based 3D Model Retrieval for Indoor Scenes by Simulating Scene Context,
ICIP18(3658-3662)
IEEE DOI 1809
Solid modeling, Context modeling, Indexes, Computational modeling, Estimation, 3D model retrieval, cluttered background BibRef

Troisi, S., Baiocchi, V., del Pizzo, S., Giannone, F.,
A Prompt Methodology to Georeference Complex Hypogea Environments,
3DARCH17(639-644).
DOI Link 1805
Model underground facilities. Conventional photogrammetric/Structure from motion software tools. BibRef

Mandelli, A., Fassi, F., Perfetti, L., Polari, C.,
Testing Different Survey Techniques to Model Architectonic Narrow Spaces,
CIPA17(505-511).
DOI Link 1805
BibRef

Lee, J.D., Bhang, K.J., Schuhr, W.,
3d Textured Modelling of Both Exterior And Interior of Korean Styled Architectures,
CIPA17(439-442).
DOI Link 1805
BibRef

Caroti, G., Piemonte, A., Martínez-Espejo Zaragoza, I., Brambilla, G.,
Indoor Photogrammetry Using UAVs with Protective Structures: Issues And Precision Tests,
Gi4DM18(137-142).
DOI Link 1805
BibRef

Jamali, A., Anton, F., Abdul Rahman, A., Mioc, D.,
A Comparison of Artificial Neural Network And Homotopy Continuation In 3d Interior Building Modelling,
GeoInfo17(13-21).
DOI Link 1805
BibRef

Yazdanpour, M., Fan, G., Sheng, W.,
Real-time volumetric reconstruction of Manhattan indoor scenes from depth sequences,
VCIP17(1-4)
IEEE DOI 1804
image matching, image reconstruction, image registration, solid modelling, 3D modeling method, LIDAR ground-truth data, Volumetric reconstruction BibRef

McCormac, J., Handa, A., Leutenegger, S., Davison, A.J.,
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?,
ICCV17(2697-2706)
IEEE DOI 1802
cameras, image colour analysis, image segmentation, image sensors, image sequences, Videos BibRef

Lee, S., Park, S.J., Hong, K.S.,
RDFNet: RGB-D Multi-level Residual Feature Fusion for Indoor Semantic Segmentation,
ICCV17(4990-4999)
IEEE DOI 1802
feature extraction, image classification, image colour analysis, image fusion, image segmentation, Semantics BibRef

Izadinia, H.[Hamid], Shan, Q.[Qi], Seitz, S.M.[Steven M.],
IM2CAD,
CVPR17(2422-2431)
IEEE DOI 1711
Single photo of room and database of furniture models, reconstruct the scene. Computational modeling, Databases, Estimation, Image reconstruction, Solid modeling, BibRef

Lu, M., Zhao, H., Yao, A., Xu, F., Chen, Y., Zhang, L.,
Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer,
ICCV17(2488-2496)
IEEE DOI 1802
feature extraction, image coding, image reconstruction, optimisation, decoder network, fast semantic style transfer, Training BibRef

Cheng, Y., Cai, R., Li, Z., Zhao, X., Huang, K.,
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation,
CVPR17(1475-1483)
IEEE DOI 1711
Adaptation models, Aggregates, Deconvolution, Image segmentation, Logic gates, Semantics, Visualization BibRef

Dai, A., Chang, A.X., Savva, M., Halber, M., Funkhouser, T., Nießner, M.,
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes,
CVPR17(2432-2443)
IEEE DOI 1711
Image reconstruction, Semantics, Sensors, Solid modeling, Surface reconstruction, Two, dimensional, displays BibRef

Zhang, Y., Song, S., Yumer, E., Savva, M., Lee, J.Y., Jin, H., Funkhouser, T.,
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks,
CVPR17(5057-5065)
IEEE DOI 1711
Cameras, Lighting, Rendering (computer graphics), Semantics, Training BibRef

Weiss, T., Nakada, M., Terzopoulos, D.,
Automated Layout Synthesis and Visualization from Images of Interior or Exterior Spaces,
Cognition17(41-47)
IEEE DOI 1709
Image edge detection, Image segmentation, Layout, Optimization, Semantics, Solid modeling, Visualization BibRef

Hayat, H., Liu, Y.Z.[Ya-Zhou], Shah, M., Ahmad, A.,
Batch regularization to converge the deep neural network for indoor RGBD scene understanding,
ICIVC17(803-807)
IEEE DOI 1708
Image segmentation, Neural networks, Robots, convergence, covariate-shift, deep neural network, normalization, suboptimal, local, minima BibRef

Osuna-Coutiño, J.A.D.[J. A. De_Jesús], Martinez-Carranza, J., Arias-Estrada, M., Mayol-Cuevas, W.W.,
Dominant plane recognition in interior scenes from a single image,
ICPR16(1923-1928)
IEEE DOI 1705
Cameras, Feature extraction, Image recognition, Image segmentation, Robots, Training, Dominant planes, Plane Recognition, Single, Image BibRef

Fukano, K., Mochizuki, Y., Iizuka, S., Simo-Serra, E., Sugimoto, A., Ishikawa, H.,
Room reconstruction from a single spherical image by higher-order energy minimization,
ICPR16(1768-1773)
IEEE DOI 1705
Image reconstruction, Image segmentation, Labeling, Minimization, Motion segmentation, Periodic structures, Three-dimensional, displays BibRef

Ren, Y.Z.[Yu-Zhuo], Li, S.W.[Shang-Wen], Chen, C.[Chen], Kuo, C.C.J.[C.C. Jay],
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method,
ACCV16(V: 36-51).
Springer DOI 1704
BibRef

Yang, H., Zhang, H.,
Efficient 3D Room Shape Recovery from a Single Panorama,
CVPR16(5422-5430)
IEEE DOI 1612
BibRef

Handa, A.[Ankur], Patraucean, V.[Viorica], Badrinarayanan, V.[Vijay], Stent, S.[Simon], Cipolla, R.[Roberto],
Understanding RealWorld Indoor Scenes with Synthetic Data,
CVPR16(4077-4085)
IEEE DOI 1612
Synthesizing training data. BibRef

Zhu, H., Weibel, J.B., Lu, S.,
Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition,
CVPR16(2969-2976)
IEEE DOI 1612
BibRef

Wang, H., Wang, J., Wang, L.,
Online Reconstruction of Indoor Scenes from RGB-D Streams,
CVPR16(3271-3279)
IEEE DOI 1612
BibRef

Armeni, I., Sener, O., Zamir, A.R., Jiang, H., Brilakis, I., Fischer, M., Savarese, S.,
3D Semantic Parsing of Large-Scale Indoor Spaces,
CVPR16(1534-1543)
IEEE DOI 1612
BibRef

Dasgupta, S., Fang, K., Chen, K., Savarese, S.,
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes,
CVPR16(616-624)
IEEE DOI 1612
BibRef

Tsiliakou, E., Dimopoulou, E.,
3D Network Analysis for Indoor Space Applications,
GeoInfo16(147-154).
DOI Link 1612
BibRef

Jamali, A., Abdul Rahman, A., Boguslawski, P.,
3D Topological Indoor Building Modeling Integrated with Open Street Map,
GGT16(111-117).
DOI Link 1612
BibRef

Kang, Z., Chang, M.,
Global Registration of Kinect Point Clouds Using Augmented Extended Information Filter and Multiple Features,
GeoInfo16(155-160).
DOI Link 1612
BibRef

Kadamen, J.[Jayren], Sithole, G.[George],
Automatically Determining Scale Within Unstructured Point Clouds,
ISPRS16(B3: 617-624).
DOI Link 1610
BibRef

Zhang, W.J.[Wen-Jun], Zhang, Q.[Qiao], Sun, K.[Kai], Guo, S.[Sheng],
A Laser-slam Algorithm For Indoor Mobile Mapping,
ISPRS16(B4: 351-355).
DOI Link 1610
BibRef

Li, K.J.[Ki-Joune],
Indoorgml: A Standard For Indoor Spatial Modeling,
ISPRS16(B4: 701-704).
DOI Link 1610
BibRef

Lachat, E., Landes, T., Grussenmeyer, P.,
Combination of TLS Point Clouds And 3d Data From Kinect V2 Sensor To Complete Indoor Models,
ISPRS16(B5: 659-666).
DOI Link 1610
BibRef

Ravanelli, R., Nascetti, A., Crespi, M.,
Kinect V2 and RGB Stereo Cameras Integration for Depth Map Enhancement,
ISPRS16(B5: 699-702).
DOI Link 1610
BibRef

Kersten, T.P., Stallmann, D., Tschirschwitz, F.,
Development Of A New Low-cost Indoor Mapping System: System Design, System Calibration And First Results,
ISPRS16(B5: 55-62).
DOI Link 1610
BibRef

Jahromi, A.B.[Ali Baligh], Sohn, G.[Gunho],
Geometric Context And Orientation Map Combination For Indoor Corridor Modeling Using A Single Image,
ISPRS16(B4: 295-302).
DOI Link 1610
BibRef

Kang, J., Lee, I.,
3d Modelling Of An Indoor Space Using A Rotating Stereo Frame Camera System,
ISPRS16(B4: 303-308).
DOI Link 1610
BibRef

Gunduz, M., Isikdag, U., Basaraner, M.,
A Review Of Recent Research In Indoor Modelling & Mapping,
ISPRS16(B4: 289-294).
DOI Link 1610
BibRef

Macher, H., Landes, T., Grussenmeyer, P.,
Validation Of Point Clouds Segmentation Algorithms Through Their Application To Several Case Studies For Indoor Building Modelling,
ISPRS16(B5: 667-674).
DOI Link 1610
BibRef

Molina, P., Blázquez, M., Sastre, J., Colomina, I.,
Precision Analysis of Point-and-Scale Photogrammetric Measurements for Corridor Mapping: Preliminary Results,
EuroCOW16(xx-yy).
DOI Link 1605
BibRef

Ikehata, S., Yang, H., Furukawa, Y.,
Structured Indoor Modeling,
ICCV15(1323-1331)
IEEE DOI 1602
Computational modeling BibRef

Kim, M., Lee, J.,
Developing a Method to Generate IndoorGML Data from the Omni-Directional Image,
GeoInfo15(17-19).
DOI Link 1602
BibRef

Jung, H., Lee, J.,
Indoor Subspacing to Implement IndoorGML for Indoor Navigation,
GeoInfo15(25-27).
DOI Link 1602
BibRef

Chang, H.C.[Hsing-Chun], Huang, S.H.[Szu-Hao], Lai, S.H.[Shang-Hong],
Using line consistency to estimate 3D indoor Manhattan scene layout from a single image,
ICIP15(4723-4727)
IEEE DOI 1512
3D Manhattan scene BibRef

Liu, P.[Peng], Ye, Z.P.[Zhi-Peng], Tang, X.L.[Xiang-Long], Zhao, W.[Wei],
Making the torch lighter: Areinforced active sampling framework for image classification,
ICIP17(845-849)
IEEE DOI 1803
Current measurement, Image classification, Testing, Training, Visualization, Weight measurement, Image classification, sample selection BibRef

Wu, R.[Rui], Ye, Z.P.[Zhi-Peng], Liu, P.[Peng], Tang, X.L.[Xiang-Long], Zhao, W.[Wei],
Knowledge as action: A cognitive framework for indoor scene classification,
ICIP15(3141-3144)
IEEE DOI 1512
Indoor scene classification BibRef

Tsai, G.J., Chiang, K.W., Chu, C.H., Chen, Y.L., El-Sheimy, N., Habib, A.,
The Performance Analysis of an Indoor Mobile Mapping System with RGB-D Sensor,
UAV-g15(183-188).
DOI Link 1512
BibRef

Hödlmoser, M.[Michael], Wolf, P.[Patrick], Kampel, M.[Martin],
Simplifying Indoor Scenes for Real-Time Manipulation on Mobile Devices,
CAIP15(II:482-493).
Springer DOI 1511
BibRef

Zhuo, W.[Wei], Salzmann, M.[Mathieu], He, X.M.[Xu-Ming], Liu, M.M.[Miao-Miao],
Indoor scene structure analysis for single image depth estimation,
CVPR15(614-622)
IEEE DOI 1510
BibRef

Liu, C.X.[Chen-Xi], Schwing, A.G.[Alexander G.], Kundu, K.[Kaustav], Urtasun, R.[Raquel], Fidler, S.[Sanja],
Rent3D: Floor-plan priors for monocular layout estimation,
CVPR15(3413-3421)
IEEE DOI 1510
BibRef

Choi, S.J.[Sung-Joon], Zhou, Q.Y.[Qian-Yi], Koltun, V.[Vladlen],
Robust reconstruction of indoor scenes,
CVPR15(5556-5565)
IEEE DOI 1510
BibRef

Khan, S.H., He, X.M.[Xu-Ming], Bannamoun, M., Sohel, F., Togneri, R.,
Separating objects and clutter in indoor scenes,
CVPR15(4603-4611)
IEEE DOI 1510
BibRef

Li, C., Zhu, X., Guo, W., Liu, Y., Huang, H.,
Research on Extension of SPARQL Ontology Query Language Considering the Computation of Indoor Spatial Relations,
Seamless15(67-73).
DOI Link 1508
BibRef

Thangamania, K., Ichikari, R., Okuma, T., Ishikawa, T., Kurata, T.,
Geometry and Texture Measures for Interactive Virtualized Reality Indoor Modeler,
Seamless15(43-48).
DOI Link 1508
BibRef

Tsai, F., Wu, T.S., Lee, I.C., Chang, H., Su, A.Y.S.,
Reconstruction of Indoor Models Using Point Clouds Generated from Single-Lens Reflex Cameras and Depth Images,
Seamless15(99-102).
DOI Link 1508
BibRef

Tang, S.J., Zhu, Q., Wang, W.W., Zhang, Y.T.,
Automatic Topology Derivation from IFC Building Model for In-Door Intelligent Navigation,
Seamless15(7-11).
DOI Link 1508
BibRef

Nakagawa, M., Yamamoto, T., Tanaka, S., Shiozaki, M., Ohhashi, T.,
Topological 3D Modeling Using Indoor Mobile Lidar Data,
Seamless15(13-18).
DOI Link 1508
BibRef

Xiong, Q., Zhu, Q., Zlatanova, S., Du, Z., Zhang, Y., Zeng, L.,
Multi-Level Indoor Path Planning Method,
Seamless15(19-23).
DOI Link 1508
BibRef

Si, R., Arikawa, M.,
A Framework of Cognitive Indoor Navigation Based on Characteristics of Indoor Spatial Environment,
Seamless15(25-28).
DOI Link 1508
BibRef

Landes, T., Kuhnle, G., Bruna, R.,
3D modeling of the Strasbourg's Cathedral basements for interdisciplinary research and virtual visits,
CIPA15(263-270).
DOI Link 1508
BibRef

Olmschenk, G.[Greg], Zhu, Z.G.[Zhi-Gang],
Mobile real-time single image 3D corridor reconstruction using J-Linkage,
MVA15(94-97)
IEEE DOI 1507
Computational modeling BibRef

Rodríguez-Gonzálvez, P., Nocerino, E., Menna, F., Minto, S., Remondino, F.,
3D Surveying and Modeling of Underground Passages in WWI Fortifications,
3D-Arch15(17-24).
DOI Link 1504
BibRef

Du, J.H.[Jian-Hao], Sheng, W.H.[Wei-Hua], Cheng, Q.[Qi], Liu, M.Q.[Mei-Qin],
Proactive 3D Robot Mapping in Environments with Sparse Features,
ISVC14(I: 773-782).
Springer DOI 1501
BibRef

Wan, S.H.[Shao-Hua], Hu, C.B.[Chang-Bo], Aggarwal, J.K.,
Indoor Scene Recognition from RGB-D Images by Learning Scene Bases,
ICPR14(3416-3421)
IEEE DOI 1412
Detectors BibRef

Aggarwal, S.[Sanchit], Namboodiri, A.M.[Anoop M.], Jawahar, C.V.,
Estimating Floor Regions in Cluttered Indoor Scenes from First Person Camera View,
ICPR14(4275-4280)
IEEE DOI 1412
Accuracy BibRef

Michael, A.[Aimilios], Philokyprou, M.[Maria], Argyrou, C.[Chrystalla],
Documentation and Evaluation of the Positive Contribution of Natural Ventilation in the Rural Vernacular Architecture of Cyprus,
EuroMed14(310-320).
Springer DOI 1412
BibRef

Díaz-Vilariño, L., Martínez-Sánchez, J., Lagüela, S., Armesto, J., Khoshelham, K.,
Door recognition in cluttered building interiors using imagery and lidar data,
CloseRange14(203-209).
DOI Link 1411
BibRef

Mostofi, N., Moussa, A., Elhabiby, M., El-Sheimy, N.,
RGB-D Indoor Plane-based 3D-Modeling using Autonomous Robot,
LandImaging14(301-308).
DOI Link 1411
BibRef

Altuntas, C.,
Pile volume measurement by range imaging camera in indoor environment,
CloseRange14(35-39).
DOI Link 1411
BibRef

Wolters, D.[Dominik], Koch, R.[Reinhard],
Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments,
GCPR17(115-125).
Springer DOI 1711
BibRef

Wolters, D.[Dominik],
Automatic 3D Reconstruction of Indoor Manhattan World Scenes Using Kinect Depth Data,
GCPR14(715-721).
Springer DOI 1411
BibRef

Rituerto, A.[Alejandro], Manduchi, R.[Roberto], Murillo, A.C.[Ana C.], Guerrero, J.J.,
3D Spatial Layout Propagation in a Video Sequence,
ICIAR14(II: 374-382).
Springer DOI 1410
BibRef

Olmschenk, G.[Greg], Zhu, Z.G.[Zhi-Gang],
3D Hallway Modeling Using a Single Image,
IWMV14(158-164)
IEEE DOI 1409
indoor modeling BibRef

Zhang, Y.[Yinda], Song, S.[Shuran], Tan, P.[Ping], Xiao, J.X.[Jian-Xiong],
PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding,
ECCV14(VI: 668-686).
Springer DOI 1408
BibRef

Martin-Brualla, R.[Ricardo], He, Y.L.[Yan-Ling], Russell, B.C.[Bryan C.], Seitz, S.M.[Steven M.],
The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces,
ECCV14(III: 1-16).
Springer DOI 1408
BibRef

Jia, H.C.[Han-Chao], Li, S.G.[Shi-Gang],
Estimating the Structure of Rooms from a Single Fisheye Image,
ACPR13(818-822)
IEEE DOI 1408
cameras BibRef

Ni, J.[Jie], Marks, T.K.[Tim K.], Tuzel, O.[Oncel], Porikli, F.M.[Fatih M.],
Detecting 3D geometric boundaries of indoor scenes under varying lighting,
WACV14(1-8)
IEEE DOI 1406
Cameras BibRef

Bao, S.Y.Z.[Sid Ying-Ze], Furlan, A.[Axel], Fei-Fei, L.[Li], Savarese, S.[Silvio],
Understanding the 3D layout of a cluttered room from multiple images,
WACV14(690-697)
IEEE DOI 1406
Estimation BibRef

El Guebaly, T.[Tarek], Bouguila, N.[Nizar],
Semantic Scene Classification with Generalized Gaussian Mixture Models,
ICIAR15(159-166).
Springer DOI 1507
BibRef
Earlier:
Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy,
CRV14(268-275)
IEEE DOI 1406
Clustering algorithms
See also Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection. BibRef

Borgsen, S.M.Z.[Sebastian Meyer Zu], Schopfer, M.[Matthias], Ziegler, L.[Leon], Wachsmuth, S.[Sven],
Automated Door Detection with a 3D-Sensor,
CRV14(276-282)
IEEE DOI 1406
Detection algorithms BibRef

Findeisen, M.[Michel], Hirtz, G.[Gangolf],
Trinocular Spherical Stereo Vision for Indoor Surveillance,
CRV14(364-370)
IEEE DOI 1406
Calibration BibRef

Siddiqui, J.R., Khatibi, S.,
Semantic Urban Maps,
ICPR14(4050-4055)
IEEE DOI 1412
Cameras BibRef

Siddiqui, J.R., Khatibi, S.,
Semantic indoor maps,
IVCNZ13(465-470)
IEEE DOI 1402
image motion analysis BibRef

Lin, D.[Dahua], Fidler, S.[Sanja], Kong, C.[Chen], Urtasun, R.[Raquel],
Generating Multi-sentence Natural Language Descriptions of Indoor Scenes,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Chen, L.C.[Liang-Chieh], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision,
CVPR14(3198-3205)
IEEE DOI 1409
3D vision; Object segmentation; crowd-sourcing BibRef

Schwing, A.G.[Alexander G.], Fidler, S.[Sanja], Pollefeys, M.[Marc], Urtasun, R.[Raquel],
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images,
ICCV13(353-360)
IEEE DOI 1403
BibRef

Zhang, J.[Jian], Kan, C.[Chen], Schwing, A.G.[Alexander G.], Urtasun, R.[Raquel],
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors,
ICCV13(1273-1280)
IEEE DOI 1403
BibRef

Guo, R.Q.[Rui-Qi], Hoiem, D.[Derek],
Support Surface Prediction in Indoor Scenes,
ICCV13(2144-2151)
IEEE DOI 1403
RGBD; image parsing; scene understanding; support surfaces BibRef

Tsai, G.[Grace], Kuipers, B.[Benjamin],
Focusing Attention on Visual Features that Matter,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Furlan, A.[Axel], Miller, S.D.[Stephen D.], Sorrenti, D.G.[Domenico G.], Fei-Fei, L.[Li], Savarese, S.[Silvio],
Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Funk, E., Dooley, L.S., Boerner, A., Griessbach, D.,
Implicit Surface Modeling from Imprecise Point Clouds,
Indoor13(7-12).
DOI Link 1402
BibRef

Routh, R., Singh, N., Shah, P.,
Real Time Inventory Management: Visual Survey of Interior Architecture Elements and Space Making Crafts of Gujarat, India,
CIPA13(537-542).
DOI Link 1311
BibRef

Bennadji, A.,
Visual documentation process of historic building refurbishment 'Improving energy efficiency by insulating wall cavity',
CIPA13(91-96).
DOI Link 1311
BibRef

del Pero, L.[Luca], Bowdish, J.[Joshua], Kermgard, B.[Bonnie], Hartley, E.[Emily], Barnard, K.[Kobus],
Understanding Bayesian Rooms Using Composite 3D Object Models,
CVPR13(153-160)
IEEE DOI 1309
Bayesian modeling and inference BibRef

Valentin, J.P.C.[Julien P.C.], Sengupta, S.[Sunando], Warrell, J.[Jonathan], Shahrokni, A.[Ali], Torr, P.H.S.[Philip H.S.],
Mesh Based Semantic Modelling for Indoor and Outdoor Scenes,
CVPR13(2067-2074)
IEEE DOI 1309
3d scene understanding BibRef

Ramalingam, S.[Srikumar], Pillai, J.K.[Jaishanker K.], Jain, A.[Arpit], Taguchi, Y.[Yuichi],
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes,
CVPR13(3065-3072)
IEEE DOI 1309
higher order CRF BibRef

Choi, W.[Wongun], Chao, Y.W.[Yu-Wei], Pantofaru, C.[Caroline], Savarese, S.[Silvio],
Indoor Scene Understanding with Geometric and Semantic Contexts,
IJCV(112), No. 2, April 2015, pp. 204-220.
Springer DOI 1504
BibRef
Earlier:
Understanding Indoor Scenes Using 3D Geometric Phrases,
CVPR13(33-40)
IEEE DOI 1309
BibRef
Earlier: A2, A1, A3, A4:
Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues,
CIAP13(II:489-499).
Springer DOI 1309
Vanishing points using 2D images. BibRef

Dumitru, R.C., Borrmann, D., Nüchter, A.,
Interior Reconstruction Using the 3D Hough Transform,
3DARCH13(65-72).
DOI Link 1308
BibRef

Rodriguez-Telles, F.G.[F. Geovani], Torres Mendez, L.A.[L. Abril], Martinez Garcia, E.A.[Edgar A.],
A Fast Floor Segmentation Algorithm for Visual-Based Robot Navigation,
CRV13(167-173)
IEEE DOI 1308
Cameras BibRef

Dou, M.S.[Ming-Song], Guan, L.[Li], Frahm, J.M.[Jan-Michael], Fuchs, H.[Henry],
Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera,
CDF12(II:94-108).
Springer DOI 1304
BibRef

Neverova, N.[Natalia], Muselet, D.[Damien], Trémeau, A.[Alain],
21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images,
CCIW13(281-295).
Springer DOI 1304

See also Lighting Estimation in Indoor Environments from Low-Quality Images. BibRef

Huitl, R., Schroth, G., Hilsenbeck, S., Schweiger, F., Steinbach, E.,
TUMindoor: An extensive image and point cloud dataset for visual indoor localization and mapping,
ICIP12(1773-1776).
IEEE DOI 1302
BibRef

Smith, G.[Gavin], Morley, J.[Jeremy],
Full floor identification in images with minimal close range 3D information,
ICIP12(1029-1032).
IEEE DOI 1302
BibRef

Sanchez, V.[Victor], Zakhor, A.[Avideh],
Planar 3D modeling of building interiors from point cloud data,
ICIP12(1777-1780).
IEEE DOI 1302
BibRef

Lu, J.W.[Ji-Wen], Wang, G.[Gang],
Human-Centric Indoor Environment Modeling from Depth Videos,
CDC4CV12(II: 42-51).
Springer DOI 1210
BibRef

Georgantas, A., Brédif, M., Pierrot-Desseilligny, M.,
An Accuracy Assessment of Automated Photogrammetric Techniques for 3D Modeling of Complex Interiors,
ISPRS12(XXXIX-B3:23-28).
DOI Link 1209
BibRef

Hirose, S.,
Simple Room Shape Modeling With Sparse 3d Point Information Using Photogrammetry And Application Software,
ISPRS12(XXXIX-B5:267-272).
DOI Link 1209
BibRef

Rosser, J., Morley, J., Jackson, M.,
Mobile Modelling for Crowdsourcing Building Interior Data,
GeoInfo12(29-32).
DOI Link 1208
BibRef

Ren, X.F.[Xiao-Feng], Bo, L.[Liefeng], Fox, D.[Dieter],
RGB-(D) scene labeling: Features and algorithms,
CVPR12(2759-2766).
IEEE DOI 1208
e.g. Kinect data. BibRef

del Pero, L.[Luca], Bowdish, J.[Joshua], Fried, D.[Daniel], Kermgard, B.[Bonnie], Hartley, E.[Emily], Barnard, K.[Kobus],
Bayesian geometric modeling of indoor scenes,
CVPR12(2719-2726).
IEEE DOI 1208
BibRef

Silberman, N.[Nathan], Fergus, R.[Rob],
Indoor scene segmentation using a structured light sensor,
3DRR11(601-608).
IEEE DOI 1201
BibRef

Tsai, G.[Grace], Xu, C.H.[Chang-Hai], Liu, J.G.[Jin-Gen], Kuipers, B.[Benjamin],
Real-time indoor scene understanding using Bayesian filtering with motion cues,
ICCV11(121-128).
IEEE DOI 1201
Model of indoors from motion through it. BibRef

Adan, A., Huber, D.,
3D Reconstruction of Interior Wall Surfaces under Occlusion and Clutter,
3DIMPVT11(275-281).
IEEE DOI 1109
BibRef

Hullo, J.F.[Jean-François], Grussenmeyer, P.[Pierre], Landes, T.[Tania], Thibault, G.[Guillaume],
Georeferencing of TLS Data for Industrial Indoor Complex Scenes: Beyond Current Solutions,
Laser11(xx-yy).
DOI Link 1109
Terrestrial Laser Scans BibRef

Schwing, A.G.[Alexander G.], Urtasun, R.[Raquel],
Efficient Exact Inference for 3D Indoor Scene Understanding,
ECCV12(VI: 299-313).
Springer DOI 1210
BibRef

Schwing, A.G.[Alexander G.], Hazan, T.[Tamir], Pollefeys, M.[Marc], Urtasun, R.[Raquel],
Efficient structured prediction for 3D indoor scene understanding,
CVPR12(2815-2822).
IEEE DOI 1208
BibRef

Kwiatek, K.,
360° Film Brings Bombed Church To Life,
3DARCH11(xx-yy).
PDF File. 1103
BibRef

Boguslawski, P.[Pawel], Gold, C.M.[Christopher M.],
Rapid Modelling of Complex Building Interiors,
GeoInfo10(xx-yy).
PDF File. 1011
BibRef

Oliver, A.A.[Antonio Adan], Huber, D.F.[Daniel F.],
Reconstruction of Wall Surfaces Under Occlusion and Clutter in 3D Indoor Environments,
CMU-RI-TR-10-12, April, 2010.
WWW Link. 1102
BibRef

Flint, A.[Alex], Mei, C.[Christopher], Murray, D.W.[David W.], Reid, I.D.[Ian D.],
A Dynamic Programming Approach to Reconstructing Building Interiors,
ECCV10(V: 394-407).
Springer DOI 0109
BibRef

Budroni, A., Böhm, J.,
Automatic 3d Modelling Of Indoor Manhattan-world Scenes From Laser Data,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Furukawa, Y.[Yasutaka], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Reconstructing Building Interiors from Images,
ICCV09(80-87).
IEEE DOI 0909
BibRef

Budroni, A., Boehm, J.,
Toward automatic reconstruction of interiors from laser data,
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Wang, X.F.[Xiao-Feng], Zhang, X.P.[Xiao-Ping], Clarke, I.[Ian], Yakubovich, Y.[Yury],
A new room decoration assistance system based on 3D reconstruction and integrated service,
CIVR08(627-634). 0807
BibRef

Ayers, B.[Brian], Boutell, M.R.[Matthew R.],
Home Interior Classification using SIFT Keypoint Histograms,
SLAM07(1-6).
IEEE DOI 0706
BibRef

Kim, S.[Sehwan], Woo, W.T.[Woon-Tack],
Projection-based registration using a multi-view camera for indoor scene reconstruction,
3DIM05(484-491).
IEEE DOI 0508
BibRef

Wang, R.[Rui], Luebke, D.,
Efficient reconstruction of indoor scenes with color,
3DIM03(402-409).
IEEE Abstract. 0311
BibRef

Sun, Y., Paik, J.K., Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
3D reconstruction of indoor and outdoor scenes using a mobile range scanner,
ICPR02(III: 653-656).
IEEE DOI 0211
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Floorplans, Floor Plans, Building Interiors .


Last update:Mar 16, 2024 at 20:36:19