10.6.5 Large Scale Multi-View Stereo, Internet Scale, Many Views

CVLab dense multi-view stereo image database,
2010
HTML Version. Dataset, Stereo. Multiple views, ground level, of buildings

IS-3D: Data,
2008.
HTML Version. Dataset, Stereo. Multiple views of various structures.

Project Photofly,
2010
WWW Link. Vendor, 3-D Models. Automatically converting photographs shot around an object or a scene into photo scenes.
See also Autodesk.

Aliaga, D.G.[Daniel G.], Funkhouser, T.[Thomas], Yanovsky, D.[Dimah], and Carlbom, I.[Ingrid],
Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments,
IEEE_CGA(23), No. 6, November/December, 2003, pp. 22-30.
HTML Version.
See also Accurate Catadioptric Calibration for Real-time Pose Estimation of Room-size Environments. BibRef 0311

Brandt, S.S.[Sami S.],
Conditional solutions for the affine reconstruction of N-views,
IVC(23), No. 7, 1 July 2005, pp. 619-630.
Elsevier DOI 0506
BibRef

Kannala, J.H.[Ju-Ho], Rahtu, E.[Esa], Brandt, S.S.[Sami S.], Heikkila, J.[Janne],
Object recognition and segmentation by non-rigid quasi-dense matching,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Koskenkorva, P.[Pekka], Kannala, J.H.[Ju-Ho], Brandt, S.S.[Sami S.],
Quasi-dense Wide Baseline Matching for Three Views,
ICPR10(806-809).
IEEE DOI 1008
BibRef
Earlier: A2, A3, Only:
Quasi-Dense Wide Baseline Matching Using Match Propagation,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Lazebnik, S.[Svetlana], Furukawa, Y.[Yasutaka], Ponce, J.[Jean],
Projective Visual Hulls,
IJCV(74), No. 2, August 2007, pp. 137-165.
Springer DOI
PDF File. 0705
For data:
See also University of Illinois Datasets. BibRef

Lazebnik, S.[Svetlana], Boyer, E.[Edmond], Ponce, J.[Jean],
On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces,
CVPR01(I:156-161).
IEEE DOI
PS File. 0110
Contours and shape of visual cone. BibRef

Shan, Q.[Qi], Adams, R., Curless, B., Furukawa, Y., Seitz, S.M.,
The Visual Turing Test for Scene Reconstruction,
3DV13(25-32)
IEEE DOI 1311
data visualisation BibRef

Furukawa, Y.[Yasutaka], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Towards Internet-scale multi-view stereo,
CVPR10(1434-1441).
IEEE DOI 1006
BibRef

Furukawa, Y.[Yasutaka], Curless, B.[Brian], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Manhattan-world stereo,
CVPR09(1422-1429).
IEEE DOI 0906
BibRef

Furukawa, Y.[Yasutaka], Ponce, J.[Jean],
Accurate, Dense, and Robust Multiview Stereopsis,
PAMI(32), No. 8, August 2010, pp. 1362-1376.
IEEE DOI 1007
BibRef
Earlier:
Accurate, Dense, and Robust Multi-View Stereopsis,
CVPR07(1-8).
IEEE DOI 0706
Award, Longuet-Higgins. (after 10 years). Dense set of small rectangular patches covering visible surfaces. Match, expand, filter, start from sparse set of matches.
See also Robust Structure and Motion from Outlines of Smooth Curved Surfaces. BibRef

Snavely, N.[Noah], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Modeling the World from Internet Photo Collections,
IJCV(80), No. 2, November 2008, pp. xx-yy.
Springer DOI 0809
BibRef
Earlier:
Photo Tourism: Exploring image collections in 3D,
SigGraph06(835-846).
PDF File. For browsing large image collections.
See also Fast algorithms for L-inf problems in multiview geometry. BibRef

Snavely, N.[Noah], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Skeletal graphs for efficient structure from motion,
CVPR08(1-8).
IEEE DOI
WWW Link. 0806
BibRef

Wilson, K.[Kyle], Snavely, N.[Noah],
Robust Global Translations with 1DSfM,
ECCV14(III: 61-75).
Springer DOI 1408
BibRef

Snavely, N.[Noah],
Bundler: Structure from Motion for Unordered Image Collections,
OnlineMay 2009. Code, Structure from Motion.
WWW Link. 0909
BibRef

Simon, I.[Ian], Snavely, N.[Noah], Seitz, S.M.[Steven M.],
Scene Summarization for Online Image Collections,
ICCV07(1-8).
IEEE DOI
WWW Link. 0710
Combine images using a Shape from Motion scheme to map where the camera is.
See also Multi-View Stereo for Community Photo Collections. BibRef

Snavely, N.[Noah], Garg, R.[Rahul], Seitz, S.M.[Steven M.], Szeliski, R.S.[Richard S.],
Finding Paths through the World's Photos,
SIGGraph-08(xx-yy)
PDF File.
WWW Link. BibRef 0800

Crandall, D.J.[David J.], Snavely, N.[Noah],
Modeling People and Places with Internet Photo Collections,
CACM(55), No. 6, June 2012, pp. 52-60.
DOI Link 1205
Understanding the world from the sea of online photos. BibRef

Vu, H.H.[Hoang-Hiep], Labatut, P.[Patrick], Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud],
High Accuracy and Visibility-Consistent Dense Multiview Stereo,
PAMI(34), No. 5, May 2012, pp. 889-901.
IEEE DOI 1204
BibRef
Earlier: A1, A4, A2, A3:
Towards high-resolution large-scale multi-view stereo,
CVPR09(1430-1437).
IEEE DOI 0906

See also Fast Level Set Multi-View Stereo on Graphics Hardware. Complete, multi-view with uncontrolled imaging (outdoor) conditions. Compare to:
See also CVLab dense multi-view stereo image database. BibRef

Labatut, P.[Patrick], Pons, J.P.[Jean-Philippe], Keriven, R.[Renaud],
Hierarchical shape-based surface reconstruction for dense multi-view stereo,
3DIM09(1598-1605).
IEEE DOI 0910

See also Fast Level Set Multi-View Stereo on Graphics Hardware. BibRef

Tola, E.[Engin], Strecha, C.[Christoph], Fua, P.[Pascal],
Efficient large-scale multi-view stereo for ultra high-resolution image sets,
MVA(23), No. 5, September 2012, pp. 903-920.
WWW Link. 1208

See also Combined Depth and Outlier Estimation in Multi-View Stereo.
See also On benchmarking camera calibration and multi-view stereo for high resolution imagery. BibRef

Steve Seitz: Using 2D images to create 3D models of historic places,
SPIE(Newsroom), January 22, 2013
DOI Link 1305
Those photos you took on your vacation may well have contributed to an impressive 3D model of a familiar tourist attraction. BibRef

Qian, X., Xue, Y., Yang, X., Tang, Y.Y., Hou, X., Mei, T.,
Landmark Summarization With Diverse Viewpoints,
CirSysVideo(25), No. 11, November 2015, pp. 1857-1869.
IEEE DOI 1511
Bit error rate BibRef

Xue, B.D.[Bin-Dang], Cao, L.[Lei], Han, D.H.[Dong-Hai], Bai, X.Z.[Xiang-Zhi], Zhou, F.[Fugen], Jiang, Z.G.[Zhi-Guo],
A DAISY descriptor based multi-view stereo method for large-scale scenes,
JVCIR(35), No. 1, 2016, pp. 15-24.
Elsevier DOI 1602
Computer vision BibRef

Xiao, X.W.[Xiong-Wu], Guo, B.X.[Bing-Xuan], Li, D.R.[De-Ren], Li, L.H.[Lin-Hui], Yang, N.[Nan], Liu, J.C.[Jian-Chen], Zhang, P.[Peng], Peng, Z.[Zhe],
Multi-View Stereo Matching Based on Self-Adaptive Patch and Image Grouping for Multiple Unmanned Aerial Vehicle Imagery,
RS(8), No. 2, 2016, pp. 89.
DOI Link 1603
BibRef

Jiang, S.[San], Jiang, W.S.[Wan-Shou], Guo, B.X.[Bing-Xuan],
Leveraging vocabulary tree for simultaneous match pair selection and guided feature matching of UAV images,
PandRS(187), 2022, pp. 273-293.
Elsevier DOI 2205
Unmanned aerial vehicle, Oblique photogrammetry, Match pair selection, Guided feature matching, Structure-from-motion BibRef

Martin-Brualla, R.[Ricardo], Gallup, D.[David], Seitz, S.M.[Steven M.],
3D Time-Lapse Reconstruction from Internet Photos,
IJCV(125), No. 1-3, December 2018, pp. 52-64.
Springer DOI 1711
BibRef
Earlier: ICCV15(1332-1340)
IEEE DOI 1602
3D Times lapse video from a photo collection of a landmark. Cameras. Not just 3D, but change over time. Large number of images. BibRef

Ben-Ezra, S.[Shahar], Cohen-Or, D.[Daniel],
Space-time image layout,
VC(34), No. 3, March 2018, pp. 417-430.
Springer DOI 1802
Activity captured by multiple people. BibRef

Joo, H.[Hanbyul], Simon, T.[Tomas], Li, X.L.[Xu-Long], Liu, H.[Hao], Tan, L.[Lei], Gui, L.[Lin], Banerjee, S.[Sean], Godisart, T.[Timothy], Nabbe, B.[Bart], Matthews, I.[Iain], Kanade, T.[Takeo], Nobuhara, S.[Shohei], Sheikh, Y.[Yaser],
Panoptic Studio: A Massively Multiview System for Social Interaction Capture,
PAMI(41), No. 1, January 2019, pp. 190-204.
IEEE DOI 1812
BibRef
Earlier: A1, A4, A5, A6, A9, A10, A11, A11, A12, Only:
Panoptic Studio: A Massively Multiview System for Social Motion Capture,
ICCV15(3334-3342)
IEEE DOI 1602
Cameras, Sensors, Face, High definition video, Motion measurement, Human motion capture, markerless motion capture BibRef

Zhang, R.Z.[Run-Ze], Zhu, S.Y.[Si-Yu], Shen, T.W.[Tian-Wei], Zhou, L.[Lei], Luo, Z.X.[Zi-Xin], Fang, T.[Tian], Quan, L.[Long],
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus,
PAMI(42), No. 2, February 2020, pp. 291-303.
IEEE DOI 2001
BibRef
Earlier: A1, A2, A6, A7, Only: ICCV17(29-38)
IEEE DOI 1802
Cameras, Bundle adjustment, Optimization, Convex functions, Convergence, Merging, Bundle adjustment, structure-from-motion, distributed computing. distributed processing, graph theory, image motion analysis. BibRef

Zhang, R.Z., Li, S.W., Fang, T., Zhu, S.Y., Quan, L.,
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-view Stereo,
ICCV15(2084-2092)
IEEE DOI 1602
Cameras BibRef

Li, S.W.[Shi-Wei], Siu, S.Y.[Sing Yu], Fang, T.[Tian], Quan, L.[Long],
Efficient Multi-view Surface Refinement with Adaptive Resolution Control,
ECCV16(I: 349-364).
Springer DOI 1611
BibRef

Zhu, S.Y., Zhang, R.Z., Zhou, L., Shen, T., Fang, T., Tan, P., Quan, L.,
Very Large-Scale Global SfM by Distributed Motion Averaging,
CVPR18(4568-4577)
IEEE DOI 1812
Cameras, Particle separators, Image reconstruction, Convergence, Robustness BibRef

Parisotto, S., Calatroni, L., Bugeau, A., Papadakis, N., Schönlieb, C.B.,
Variational Osmosis for Non-Linear Image Fusion,
IP(29), 2020, pp. 5507-5516.
IEEE DOI 2005
Osmosis filtering, image fusion, non-convex optimization, primal-dual algorithm, cultural heritage imaging BibRef

Li, Z., Zuo, W., Wang, Z., Zhang, L.,
Confidence-Based Large-Scale Dense Multi-View Stereo,
IP(29), 2020, pp. 7176-7191.
IEEE DOI 2007
Image reconstruction, Surface reconstruction, Interpolation, Estimation, refinement BibRef

Nassar, A.S.[Ahmed Samy], Lefèvre, S.[Sébastien], Wegner, J.D.[Jan Dirk],
Multi-View Instance Matching with Learned Geometric Soft-Constraints,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
VArious multiple views of objects for detailed descriptions. BibRef

Zhou, L.Y.[Li-Yang], Zhang, Z.[Zhuang], Jiang, H.Q.[Han-Qing], Sun, H.[Han], Bao, H.J.[Hu-Jun], Zhang, G.F.[Guo-Feng],
DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Glówczynski, M.[Maciej],
Toward User-Generated Content as a Mechanism of Digital Placemaking: Place Experience Dimensions in Spatial Media,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yang, J.[Jiayu], Mao, W.[Wei], Alvarez, J.M.[Jose M.], Liu, M.M.[Miao-Miao],
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo,
PAMI(44), No. 9, September 2022, pp. 4748-4760.
IEEE DOI 2208
BibRef
Earlier: CVPR20(4876-4885)
IEEE DOI 2008
Image resolution, Estimation, Buildings, Memory management, Feature extraction, Image reconstruction, Multi-view stereo, cost volume. BibRef

Yang, J.[Jiayu], Alvarez, J.M.[Jose M.], Liu, M.M.[Miao-Miao],
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo,
CVPR22(8616-8624)
IEEE DOI 2210
Deep learning, Solid modeling, Costs, Codes, Neural networks, 3D from multi-view and sensors BibRef

Yang, J.[Jiayu], Alvarez, J.M.[Jose M.], Liu, M.M.[Miao-Miao],
Self-supervised Learning of Depth Inference for Multi-view Stereo,
CVPR21(7522-7530)
IEEE DOI 2111
Training, Image resolution, Pipelines, Supervised learning, Estimation, Data mining BibRef

Zhang, J.Z.[Jin-Zhi], Ji, M.Q.[Meng-Qi], Wang, G.Y.[Guang-Yu], Xue, Z.W.[Zhi-Wei], Wang, S.J.[Sheng-Jin], Fang, L.[Lu],
SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field,
PAMI(44), No. 11, November 2022, pp. 7912-7927.
IEEE DOI 2210
Surface reconstruction, Surface texture, Geometry, Image reconstruction, Shape, Rendering (computer graphics), neural rendering BibRef

Zhang, J.N.[Jia-Ning], Zhang, J.Z.[Jin-Zhi], Mao, S.[Shi], Ji, M.Q.[Meng-Qi], Wang, G.Y.[Guang-Yu], Chen, Z.Q.[Ze-Qun], Zhang, T.[Tian], Yuan, X.Y.[Xiao-Yun], Dai, Q.H.[Qiong-Hai], Fang, L.[Lu],
GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction,
PAMI(44), No. 11, November 2022, pp. 7534-7550.
IEEE DOI 2210
Benchmark testing, Image reconstruction, Solid modeling, Geometry, Image resolution, Multiview stereopsis benchmark, large-scale scene reconstruction BibRef

Sumetheeprasit, B.[Borwonpob], Martinez, R.R.[Ricardo Rosales], Paul, H.[Hannibal], Shimonomura, K.[Kazuhiro],
Long-Range 3D Reconstruction Based on Flexible Configuration Stereo Vision Using Multiple Aerial Robots,
RS(16), No. 2, 2024, pp. 234.
DOI Link 2402
BibRef

Zhou, Y.[Yuan], Sun, Z.Q.[Zhong-Qi], Huo, S.W.[Shu-Wei], Kung, S.Y.[Sun-Yuan],
Dynamic View Aggregation for Multi-View 3D Shape Recognition,
MultMed(26), 2024, pp. 9163-9174.
IEEE DOI 2409
Shape, Feature extraction, Aggregates, Task analysis, Image recognition, Fuses, 3D shape recognition, dynamic view aggregation BibRef

Simoni, A.[Alessandro], Pini, S.[Stefano], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Multi-Category Mesh Reconstruction From Image Collections,
3DV21(1321-1330)
IEEE DOI 2201
Training, Deformable models, Solid modeling, Codes, Shape, Cameras, 3d reconstruction, mesh reconstruction, multi category, differentiable rendering BibRef

Kang, J.[Jiwoo], Lee, S.[Seongmin], Jang, M.Y.[Ming-Yu], Yoon, H.[Hyunse], Lee, S.H.[Sang-Hoon],
WarpingFusion: Accurate Multi-View TSDF Fusion with Local Perspective Warp,
ICIP21(1564-1568)
IEEE DOI 2201
Surface is reconstructed accurately and robustly from multi-view depth maps. Surface reconstruction, Shape, Reconstruction algorithms, Minimization, Distance measurement, local mismatch BibRef

Salem, T.[Tawfiq], Workman, S.[Scott], Jacobs, N.[Nathan],
Learning a Dynamic Map of Visual Appearance,
CVPR20(12432-12441)
IEEE DOI 2008
Construct a global-scale, dynamic map of visual appearance attributes. Visualization, Metadata, Feature extraction, Geology, Head, Vehicle dynamics, Transient analysis BibRef

Xu, Z., Liu, Y., Shi, X., Wang, Y., Zheng, Y.,
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction,
CVPR20(5980-5989)
IEEE DOI 2008
Geometry, Image reconstruction, Merging, Benchmark testing, Image matching, Surface texture BibRef

Yu, Z., Gao, S.,
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement,
CVPR20(1946-1955)
IEEE DOI 2008
Memory management, Image resolution, Prediction algorithms, Image reconstruction, Optimization, Feature extraction BibRef

Yao, Y., Luo, Z., Li, S., Zhang, J., Ren, Y., Zhou, L., Fang, T., Quan, L.,
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks,
CVPR20(1787-1796)
IEEE DOI 2008
Training, Lighting, Cameras, Image reconstruction, Pipelines, Benchmark testing BibRef

Wang, Y., Guan, T., Chen, Z., Luo, Y., Luo, K., Ju, L.,
Mesh-Guided Multi-View Stereo With Pyramid Architecture,
CVPR20(2036-2045)
IEEE DOI 2008
Image reconstruction, Fuses, Face, Surface treatment, Geometry, Estimation BibRef

Gu, X., Fan, Z., Zhu, S., Dai, Z., Tan, F., Tan, P.,
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching,
CVPR20(2492-2501)
IEEE DOI 2008
Graphics processing units, Feature extraction, Standards, Cameras, Spatial resolution BibRef

Bai, Z., Cui, Z., Rahim, J.A., Liu, X., Tan, P.,
Deep Facial Non-Rigid Multi-View Stereo,
CVPR20(5849-5859)
IEEE DOI 2008
Face, Optimization, Image reconstruction, Adaptation models, Shape, Geometry BibRef

Liu, J., Ji, S.,
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset,
CVPR20(6049-6058)
IEEE DOI 2008
Image reconstruction, Cameras, Surface reconstruction, Machine learning, Memory management, Buildings BibRef

Henzler, P.[Philipp], Mitra, N.[Niloy], Ritschel, T.[Tobias],
Escaping Plato's Cave: 3D Shape From Adversarial Rendering,
ICCV19(9983-9992)
IEEE DOI 2004
3D from unstructured collection of 2D images. image reconstruction, neural nets, rendering (computer graphics), stereo image processing, 3D shape, adversarial rendering, Image reconstruction BibRef

Porfiri Dal Cin, A.[Andrea], Magri, L.[Luca], Arrigoni, F.[Federica], Fusiello, A.[Andrea], Boracchi, G.[Giacomo],
Synchronization of Group-labelled Multi-graphs,
ICCV21(6433-6443)
IEEE DOI 2203
Eigenvalues and eigenfunctions, Sensors, Synchronization, Optimization, Stereo, 3D from multiview and other sensors, BibRef

Maset, E.[Eleonora], Arrigoni, F.[Federica], Fusiello, A.[Andrea],
Practical and Efficient Multi-view Matching,
ICCV17(4578-4586)
IEEE DOI 1802
BibRef
Earlier: A2, A1, A3:
Synchronization in the Symmetric Inverse Semigroup,
CIAP17(II:70-81).
Springer DOI 1711
image denoising, image matching, iterative methods, closed-form efficiency algorithm, iterative techniques, Matrix decomposition. Sequence of multiple images. BibRef

Radenovic, F.[Filip], Schönberger, J.L.[Johannes L.], Ji, D.H.[Ding-Huang], Frahm, J.M.[Jan-Michael], Chum, O.[Ondrej], Matas, J.G.[Jirí G.],
From Dusk Till Dawn: Modeling in the Dark,
CVPR16(5488-5496)
IEEE DOI 1612
BibRef

Bláha, M.[Maroš], Vogel, C.[Christoph], Richard, A.[Audrey], Wegner, J.D.[Jan D.], Pock, T.[Thomas], Schindler, K.[Konrad],
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling,
CVPR16(3176-3184)
IEEE DOI 1612
BibRef

Dar, M.[Mor], Moses, Y.[Yael],
Temporal Epipolar Regions,
CVPR16(1220-1228)
IEEE DOI 1612
Dynamic events from multiple unconstrained viewpoints. BibRef

Zhuo, W., Salzmann, M.[Mathieu], He, X.M.[Xu-Ming], Liu, M.M.[Miao-Miao],
Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference,
CVPR17(6269-6277)
IEEE DOI 1711
BibRef
Earlier: A4, A3, A2, Only:
Building Scene Models by Completing and Hallucinating Depth and Semantics,
ECCV16(VI: 258-274).
Springer DOI 1611
Cognition, Image segmentation, Labeling, Semantics, Support vector machines. Occlusions in depth sensing. BibRef

Diaz, R., Lee, M., Schubert, J., Fowlkes, C.C.,
Lifting GIS maps into strong geometric context for scene understanding,
WACV16(1-9)
IEEE DOI 1606
Combine GIS resource with large sets of images using shape from motion techniques. BibRef

Locher, A., Perdoch, M., Van Gool, L.J.,
Progressive Prioritized Multi-view Stereo,
CVPR16(3244-3252)
IEEE DOI 1612
BibRef

Locher, A., Perdoch, M., Riemenschneider, H., Van Gool, L.J.,
Mobile phone and cloud: A dream team for 3D reconstruction,
WACV16(1-8)
IEEE DOI 1606
Image reconstruction BibRef

Ji, D.H.[Ding-Huang], Dunn, E.[Enrique], Frahm, J.M.[Jan-Michael],
Synthesizing Illumination Mosaics from Internet Photo-Collections,
ICCV15(3988-3996)
IEEE DOI 1602
Feature extraction BibRef

Galliani, S.[Silvano], Schindler, K.[Konrad],
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction,
CVPR16(5479-5487)
IEEE DOI 1612
BibRef

Galliani, S., Lasinger, K., Schindler, K.,
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion,
ICCV15(873-881)
IEEE DOI 1602
Benchmark testing BibRef

Peres, M., Savakis, A.,
Crowdpainting with Light: Participatory Imaging at the Big Shot,
Extreme15(683-687)
IEEE DOI 1602
Buildings BibRef

Chen, Y.C., Tseng, Y.H., Hsieh, C.Y., Wang, P.C., Tsai, P.C.,
Object-space Multi-image Matching of Mobile-mapping-system Image Sequences,
ISPRS12(XXXIX-B5:465-470).
DOI Link 1209
BibRef

Abate, D., Furini, G., Migliori, S., Pierattini, S.,
Project Photofly: New 3D Modeling Online Web Service (Case Studies and Assessments),
3DARCH11(xx-yy).
PDF File. 1103

See also Project Photofly. BibRef

Martinec, D.[Daniel], Pajdla, T.[Tomas],
Robust Rotation and Translation Estimation in Multiview Reconstruction,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Martinec, D.[Daniel], Pajdla, T.[Tomás],
3D Reconstruction by Gluing Pair-Wise Euclidean Reconstructions, or 'How to Achieve a Good Reconstruction from Bad Images',
3DPVT06(25-32).
IEEE DOI 0606
BibRef
Earlier:
3D Reconstruction by Fitting Low-Rank Matrices with Missing Data,
CVPR05(I: 198-205).
IEEE DOI 0507
BibRef
Earlier:
Line reconstruction from many perspective images by factorization,
CVPR03(I: 497-502).
IEEE DOI 0307
BibRef
Earlier:
Consistent Multi-view Reconstruction from Epipolar Geometries with Outliers,
SCIA03(493-500).
Springer DOI 0310
BibRef
Earlier:
Outlier Detection for Factorization-Based Reconstruction from Perspective Images with Occlusions,
PCV02(B: 161). 0305
BibRef
And:
Structure from Many Perspective Images with Occlusions,
ECCV02(II: 355 ff.).
Springer DOI 0205
3D from many views. BibRef

Ollis, M.[Mark], Malaxos, D.[David],
3D Video Capture, Reconstruction, and Viewing Systems,
CVPR01(Demos 2-3). 0110
Many cameras. BibRef

Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Multi-Baseline Stereo, Multibaseline Stereo .