Li, G.[Gang],
Zucker, S.W.[Steven W.],
Contextual Inference in Contour-Based Stereo Correspondence,
IJCV(69), No. 1, August 2006, pp. 59-75.
Springer DOI
0606
BibRef
Earlier:
Stereo for Slanted Surfaces:
First Order Disparities and Normal Consistency,
EMMCVPR05(617-632).
Springer DOI
0601
BibRef
Earlier: A2, A1:
Geometry of contour-based correspondence for stereo,
3DPVT02(709-712).
IEEE DOI
0206
Expand the stereo matching ideas to allow for surface slants.
BibRef
Li, G.[Gang],
Genc, Y.[Yakup],
Zucker, S.W.[Steven W.],
Multi-View Edge-based Stereo by Incorporating Spatial Coherence,
3DIM07(341-348).
IEEE DOI
0708
BibRef
Montijano, E.[Eduardo],
Sagues, C.[Carlos],
Distributed multi-camera visual mapping using topological maps of
planar regions,
PR(44), No. 7, July 2011, pp. 1528-1539.
Elsevier DOI
1103
Distributed systems; Mapping
BibRef
Li, G.[Gang],
Zucker, S.W.[Steven W.],
Differential Geometric Inference in Surface Stereo,
PAMI(32), No. 1, January 2010, pp. 72-86.
IEEE DOI
0912
BibRef
Earlier:
Differential Geometric Consistency Extends Stereo to Curved Surfaces,
ECCV06(III: 44-57).
Springer DOI
0608
BibRef
Earlier:
Surface Geometric Constraints for Stereo in Belief Propagation,
CVPR06(II: 2355-2362).
IEEE DOI
0606
Use geometric info in stereo matching to deal with curved surfaces.
Dealing with depth changes in the constraints used for matching.
Address errors from assuming frontal parallel.
Use context to avoid such errors. And partial occlusions.
BibRef
Coffman, T.R.[Thayne R.],
Bovik, A.C.[Alan C.],
Efficient Stereoscopic Ranging via Stochastic Sampling of Match Quality,
IP(19), No. 2, February 2010, pp. 451-460.
IEEE DOI
1002
BibRef
And:
Multi-view stereo ranging via Distributed Ray Tracing,
Southwest10(161-164).
IEEE DOI
1005
BibRef
Tatsumi, S.[Shunsuke],
Hariyama, M.[Masanori],
Ito, K.[Koichi],
Aoki, T.[Takafumi],
An FPGA accelerator for PatchMatch multi-view stereo using OpenCL,
RealTimeIP(17), No. 2, April 2020, pp. 215-227.
Springer DOI
2004
BibRef
Stathopoulou, E.K.[Elisavet Konstantina],
Battisti, R.[Roberto],
Cernea, D.[Dan],
Georgopoulos, A.[Andreas],
Remondino, F.[Fabio],
Multiple View Stereo with quadtree-guided priors,
PandRS(196), 2023, pp. 197-209.
Elsevier DOI
2302
Multi View Stereo (MVS), PatchMatch, Depth estimation,
3D reconstruction, Dense point cloud, Quadtree, RANSAC
BibRef
Yan, Q.S.[Qing-Song],
Kang, J.H.[Jun-Hua],
Xiao, T.[Teng],
Liu, H.B.[Hai-Bing],
Deng, F.[Fei],
MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with
Dilation Matching for Photogrammetric Application,
RS(16), No. 6, 2024, pp. 964.
DOI Link
2403
BibRef
Zhao, J.[Jinyu],
Oishi, J.[Jumpei],
Monno, Y.[Yusuke],
Okutomi, M.[Masatoshi],
Polarimetric PatchMatch Multi-View Stereo,
WACV24(3464-3472)
IEEE DOI
2404
Surface reconstruction, Solid modeling, Estimation, Reflection,
Data models, Algorithms, 3D computer vision, Algorithms,
Low-level and physics-based vision
BibRef
Zhangl, Y.[Yisu],
Zhu, J.K.[Jian-Ke],
Lin, L.X.[Li-Xiang],
Multi-View Stereo Representation Revist: Region-Aware MVSNet,
CVPR23(17376-17385)
IEEE DOI
2309
BibRef
Wang, Y.S.[Yue-Song],
Zeng, Z.J.[Zhao-Jie],
Guan, T.[Tao],
Yang, W.[Wei],
Chen, Z.[Zhuo],
Liu, W.K.[Wen-Kai],
Xu, L.[Luoyuan],
Luo, Y.[Yawei],
Adaptive Patch Deformation for Textureless-Resilient Multi-View
Stereo,
CVPR23(1621-1630)
IEEE DOI
2309
BibRef
Lee, J.Y.[Jae Yong],
DeGol, J.[Joseph],
Zou, C.[Chuhang],
Hoiem, D.[Derek],
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility,
ICCV21(6138-6147)
IEEE DOI
2203
Training, Costs, Estimation, Reinforcement learning,
Benchmark testing, Cameras, Stereo,
Optimization and learning methods
BibRef
Wang, F.J.[Fang-Jinhua],
Galliani, S.[Silvano],
Vogel, C.[Christoph],
Speciale, P.[Pablo],
Pollefeys, M.[Marc],
PatchmatchNet: Learned Multi-View Patchmatch Stereo,
CVPR21(14189-14198)
IEEE DOI
2111
Performance evaluation, Learning systems,
Costs, Image resolution, Head, Memory management
BibRef
Doi, T.[Takuma],
Okura, F.[Fumio],
Nagahara, T.[Toshiki],
Matsushita, Y.[Yasuyuki],
Yagi, Y.S.[Yasu-Shi],
Descriptor-free Multi-view Region Matching for Instance-wise 3d
Reconstruction,
ACCV20(V:581-599).
Springer DOI
2103
BibRef
Romanoni, A.,
Matteucci, M.,
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo,
ICCV19(10412-10421)
IEEE DOI
2004
image filtering, image fusion, image matching,
image reconstruction, image resolution, image texture,
Image edge detection
BibRef
Luo, K.,
Guan, T.,
Ju, L.,
Huang, H.,
Luo, Y.,
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for
Multi-View Stereo,
ICCV19(10451-10460)
IEEE DOI
2004
convolutional neural nets, feature extraction, image matching,
image reconstruction, learning (artificial intelligence), Surface texture
BibRef
Poms, A.,
Wu, C.,
Yu, S.,
Sheikh, Y.,
Learning Patch Reconstructability for Accelerating Multi-view Stereo,
CVPR18(3041-3050)
IEEE DOI
1812
Image reconstruction, Surface reconstruction,
Acceleration, Pipelines, Neural networks
BibRef
Nover, H.,
Achar, S.,
Goldman, D.,
ESPReSSo: Efficient Slanted PatchMatch for Real-Time Spacetime Stereo,
3DV18(578-586)
IEEE DOI
1812
filtering theory, image reconstruction, image resolution,
real-time systems, stereo image processing, permeability filter,
real-time stereo
BibRef
Hartmann, W.[Wilfried],
Galliani, S.[Silvano],
Havlena, M.[Michal],
Van Gool, L.J.[Luc J.],
Schindler, K.[Konrad],
Learned Multi-patch Similarity,
ICCV17(1595-1603)
IEEE DOI
1802
Depth map from multiple views.
convolution, image matching, image reconstruction,
learning (artificial intelligence), neural nets, solid modelling,
BibRef
Bourki, A.[Amine],
de la Gorce, M.[Martin],
Marlet, R.[Renaud],
Komodakis, N.[Nikos],
Patchwork Stereo:
Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments,
WACV17(292-301)
IEEE DOI
1609
Calibration, Feature extraction, Image reconstruction,
Image segmentation, Robustness, Two,
dimensional, displays
BibRef
Ulusoy, A.O.[Ali Osman],
Black, M.J.[Michael J.],
Geiger, A.[Andreas],
Patches, Planes and Probabilities:
A Non-Local Prior for Volumetric 3D Reconstruction,
CVPR16(3280-3289)
IEEE DOI
1612
BibRef
Wang, S.L.[Shen-Long],
Fanello, S.R.[Sean Ryan],
Rhemann, C.[Christoph],
Izadi, S.[Shahram],
Kohli, P.[Pushmeet],
The Global Patch Collider,
CVPR16(127-135)
IEEE DOI
1612
point-wise correspondence, parallelizable
BibRef
Wei, Y.C.[Yi-Chen],
Quan, L.[Long],
Asymmetrical Occlusion Handling Using Graph Cut for Multi-View Stereo,
CVPR05(II: 902-909).
IEEE DOI
0507
BibRef
Earlier:
Region-based progressive stereo matching,
CVPR04(I: 106-113).
IEEE DOI
0408
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Multi-View Geometry .