Xie, J.[Jun],
Hsu, Y.F.[Yu-Feng],
Feris, R.S.[Rogerio Schmidt],
Sun, M.T.[Ming-Ting],
Fine registration of 3D point clouds fusing structural and
photometric information using an RGB-D camera,
JVCIR(32), No. 1, 2015, pp. 194-204.
Elsevier DOI
1511
ICP
BibRef
Li, B.B.[Bei-Bei],
Jiang, G.[Guang],
Shao, W.J.[Wen-Jian],
Color correction based on point clouds alignment in the logarithmic RGB
space,
VC(31), No. 3, March 2015, pp. 257-270.
WWW Link.
1503
BibRef
Chen, B.,
Jung, C.,
Zhang, Z.,
Variational Fusion of Time-of-Flight and Stereo Data for Depth
Estimation Using Edge-Selective Joint Filtering,
MultMed(20), No. 11, November 2018, pp. 2882-2890.
IEEE DOI
1810
BibRef
Earlier:
Variational fusion of time-of-flight and stereo data using edge
selective joint filtering,
ICIP17(1437-1441)
IEEE DOI
1803
Image edge detection, Cameras, Estimation, Data integration, Color,
Image color analysis, Data mining, Depth upsampling, data fusion,
total variation.
Color, Estimation, Fuses,
Image edge detection, Edge selective,
total variation
BibRef
Bülow, H.[Heiko],
Birk, A.[Andreas],
Scale-Free Registrations in 3D:
7 Degrees of Freedom with Fourier Mellin SOFT Transforms,
IJCV(126), No. 7, July 2018, pp. 731-750.
Springer DOI
1806
MR data, RGB-D data, etc.
BibRef
Zhong, J.G.[Jia-Geng],
Li, M.[Ming],
Liao, X.[Xuan],
Qin, J.Y.[Jiang-Ying],
A Real-Time Infrared Stereo Matching Algorithm for RGB-D Cameras'
Indoor 3D Perception,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Byun, J.H.[Jung-Hyun],
Han, T.D.[Tack-Don],
Axis bound registration of pan-tilt RGB-D scans for fast and accurate
reconstruction,
PRL(138), 2020, pp. 138-145.
Elsevier DOI
1806
Pan-tilt camera, Rotation axis calibration, Servo control,
Point cloud registration
BibRef
Wu, Y.J.[Yi-Jie],
Shang, J.[Jianga],
Xue, F.[Fan],
RegARD: Symmetry-Based Coarse Registration of Smartphone's Colorful
Point Clouds with CAD Drawings for Low-Cost Digital Twin Buildings,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Zhong, S.S.[Sai-Shang],
Guo, M.Q.[Ming-Qiang],
Lv, R.[Ruina],
Chen, J.G.[Jian-Guo],
Xie, Z.[Zhong],
Liu, Z.[Zheng],
A Robust Rigid Registration Framework of 3D Indoor Scene Point Clouds
Based on RGB-D Information,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chen, Z.[Zhi],
Sun, K.[Kun],
Yang, F.[Fan],
Guo, L.[Lin],
Tao, W.B.[Wen-Bing],
SC^2-PCR++: Rethinking the Generation and Selection for Efficient and
Robust Point Cloud Registration,
PAMI(45), No. 10, October 2023, pp. 12358-12376.
IEEE DOI
2310
BibRef
Earlier: A1, A2, A3, A5, Only:
SC2-PCR: A Second Order Spatial Compatibility for Efficient and
Robust Point Cloud Registration,
CVPR22(13211-13221)
IEEE DOI
2210
Point cloud compression, Deep learning, Pose estimation, Pipelines,
Sensors, Pose estimation and tracking, RGBD sensors and analytics
BibRef
Zhang, Y.[Yu],
Yu, J.[Junle],
Huang, X.L.[Xiao-Lin],
Zhou, W.H.[Wen-Hui],
Hou, J.[Ji],
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry,
ECCV22(X:443-459).
Springer DOI
2211
BibRef
Wang, Z.M.[Zi-Ming],
Huo, X.L.[Xiao-Liang],
Chen, Z.H.[Zheng-Hao],
Zhang, J.[Jing],
Sheng, L.[Lu],
Xu, D.[Dong],
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local
Linear Transformation,
ECCV22(XXXII:175-191).
Springer DOI
2211
BibRef
Sun, C.[Che],
Jia, Y.D.[Yun-De],
Guo, Y.[Yi],
Wu, Y.W.[Yu-Wei],
Global-Aware Registration of Less-Overlap RGB-D Scans,
CVPR22(6347-6356)
IEEE DOI
2210
Reinforcement learning, Benchmark testing, Sensors, Registers,
Pattern recognition, 3D from multi-view and sensors, RGBD sensors and analytics
BibRef
Jeong, H.[Hyeonwoo],
Yoon, B.[Byunghyun],
Jeong, H.G.[Hong-Gu],
Choi, K.S.[Kang-Sun],
Multi-View Image Color Correction Using 3D Point Set Registration,
ICIP21(1744-1748)
IEEE DOI
2201
Image color analysis, Transfer functions, Clustering algorithms,
Transforms, Approximation algorithms, color consistency, superpixels
BibRef
Wan, T.[Teng],
Du, S.Y.[Shao-Yi],
Cui, W.T.[Wen-Ting],
Xie, Q.X.[Qi-Xing],
Liu, Y.Y.[Yu-Ying],
Li, Z.Y.[Zuo-Yong],
Robust RGB-D Data Registration Based on Correntropy and Bi-directional
Distance,
MMMod20(II:316-326).
Springer DOI
2003
BibRef
Thomas, D.[Diego],
Sirazitdinova, E.[Ekaterina],
Sugimoto, A.[Akihiro],
Taniguchi, R.I.[Rin-Ichiro],
Revisiting Depth Image Fusion with Variational Message Passing,
3DV19(328-337)
IEEE DOI
1911
Cameras, Solid modeling,
Probabilistic logic, Image color analysis, Message passing,
indoor scene
BibRef
Qiu, D.,
Pang, J.,
Sun, W.,
Yang, C.,
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D
Module,
ICCV19(9993-10002)
IEEE DOI
2004
cameras, image colour analysis, image sequences,
learning (artificial intelligence), neural nets, deep learning,
Adaptive optics
BibRef
Elanattil, S.,
Moghadam, P.,
Sridharan, S.,
Fookes, C.[Clinton],
Cox, M.,
Non-rigid Reconstruction with a Single Moving RGB-D Camera,
ICPR18(1049-1055)
IEEE DOI
1812
Image reconstruction, Tracking, Strain, Cameras, Image segmentation,
Geometry
BibRef
Kittaka, T.,
Fujii, H.,
Yamashita, A.,
Asama, H.,
Real-Time Registration of RGB-D Image Pair for See-Through System,
ICIP18(1233-1237)
IEEE DOI
1809
Image sensors, Minimization, Sensor systems, Robots,
Real-time systems, Robustness, diminished reality, RGB-D sensor,
remote operation
BibRef
Agresti, G.,
Minto, L.,
Marin, G.,
Zanuttigh, P.,
Deep Learning for Confidence Information in Stereo and ToF Data
Fusion,
3DSemantics17(697-705)
IEEE DOI
1802
Cameras, Estimation, Image color analysis, Machine learning,
Reliability, Stereo vision
BibRef
Lauterbach, H.A.,
Borrmann, D.,
Nüchter, A.,
Towards Radiometrical Alignment of 3D Point Clouds,
3DARCH17(419-424).
DOI Link
1805
BibRef
Park, J.,
Zhou, Q.Y.,
Koltun, V.,
Colored Point Cloud Registration Revisited,
ICCV17(143-152)
IEEE DOI
1802
cameras, geometry, image colour analysis, image reconstruction,
image registration, optimisation, RGB-D images aligning,
BibRef
Halber, M.,
Funkhouser, T.,
Fine-to-Coarse Global Registration of RGB-D Scans,
CVPR17(6660-6669)
IEEE DOI
1711
Benchmark testing, Cameras, Feature extraction,
Image reconstruction, Optimization, Robustness, Trajectory
BibRef
Malleus, L.,
Fisichella, T.,
Lingrand, D.,
Precioso, F.,
Gros, N.,
Noutary, Y.,
Robert, L.,
Samoun, L.,
KPPF: Keypoint-Based Point-Pair-Feature for Scalable Automatic Global
Registration of Large RGB-D Scans,
Multiview17(2495-2502)
IEEE DOI
1802
Clustering algorithms, Detectors, Feature extraction,
Iterative closest point algorithm,
BibRef
Martins, R.[Renato],
Fernandez-Moral, E.[Eduardo],
Rives, P.[Patrick],
Adaptive Direct RGB-D Registration and Mapping for Large Motions,
ACCV16(IV: 191-206).
Springer DOI
1704
BibRef
Vestena, K.M.,
Santos, D.R.D.[D. R. Dos],
Oilveira Jr., E.M.,
Pavan, N.L.,
Khoshelham, K.,
A Weighted Closed-form Solution for RGB-D Data Registration,
ISPRS16(B3: 403-409).
DOI Link
1610
BibRef
Wang, F.,
Ye, Y.,
Hu, X.,
Shan, J.,
Point cloud registration by combining shape and intensity contexts,
PRRS16(1-6)
IEEE DOI
1704
geometry
BibRef
Xu, G.[George],
Payandeh, S.[Shahram],
On Calibration and Alignment of Point Clouds in a Network of RGB-D
Sensors for Tracking,
ISVC15(II: 563-573).
Springer DOI
1601
BibRef
Zeisl, B.[Bernhard],
Zach, C.[Christopher],
Pollefeys, M.[Marc],
Variational Regularization and Fusion of Surface Normal Maps,
3DV14(601-608)
IEEE DOI
1503
Noise
BibRef
Zeisl, B.[Bernhard],
Koser, K.[Kevin],
Pollefeys, M.[Marc],
Automatic Registration of RGB-D Scans via Salient Directions,
ICCV13(2808-2815)
IEEE DOI
1403
3D reconstruction; RGB-D registration; point cloud registration
BibRef
Alba, M.[Mario],
Barazzetti, L.[Luigi],
Scaioni, M.[Marco],
Remondino, F.[Fabio],
Automatic Registration of Multiple Laser Scans Using Panoramic RGB and
Intensity Images,
Laser11(xx-yy).
DOI Link
1109
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
ICP, Iterative Closest Point Registeration for Point Clouds .