Sun, J.[Jian],
Zheng, N.N.[Nan-Ning],
Shum, H.Y.[Heung-Yeung],
Stereo Matching Using Belief Propagation,
PAMI(25), No. 7, July 2003, pp. 787-800.
IEEE Abstract.
0307
BibRef
Earlier: A1, A3, A2:
ECCV02(II: 510 ff.).
Springer DOI
0205
Stereo as Markov network to model smooth field, line process for discontinuity
and occlusion.
BibRef
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
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
Arce, E.[Edgar],
Marroquín, J.L.[José Luis],
High-precision stereo disparity estimation using HMMF models,
IVC(25), No. 5, 1 May 2007, pp. 623-636.
Elsevier DOI
0703
Stereo correspondence; Disparity map; Image segmentation;
Markov random fields; Bayesian method; Doubly stochastic prior model;
Parametric disparity model; Subpixel disparity values; Occluded regions
BibRef
Ben-Ari, R.[Rami],
Sochen, N.A.[Nir A.],
A Geometric Approach for Regularization of the Data Term in
Stereo-Vision,
JMIV(31), No. 1, May 2008, pp. xx-yy.
Springer DOI
0804
BibRef
Earlier:
Variational Stereo Vision with Sharp Discontinuities and Occlusion
Handling,
ICCV07(1-7).
IEEE DOI
0710
BibRef
Earlier:
Non-isotropic regularization of the correspondence space in
stereo-vision,
ICPR04(IV: 293-296).
IEEE DOI
0409
BibRef
Ben-Ari, R.[Rami],
Sochen, N.A.[Nir A.],
Stereo Matching with Mumford-Shah Regularization and Occlusion Handling,
PAMI(32), No. 11, November 2010, pp. 2071-2084.
IEEE DOI
1011
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems.
BibRef
Oh, J.D.[Jong Dae],
Kuo, C.C.J.[C.C. Jay],
Robust stereo matching with improved graph and surface models and
occlusion handling,
JVCIR(21), No. 5-6, July-August 2010, pp. 404-415.
Elsevier DOI
1007
Stereo matching; Graph model; Occlusion; Disparity estimation; Surface
modeling; Ordering constraint; Color segmentation constraint;
Disparity filling
BibRef
Li, B.,
Lin, C.,
Zheng, C.,
Liu, S.,
Kuo, C.C.J.,
Stereo Depth Mapping via Axis-Aligned Warping,
ICIP19(4305-4309)
IEEE DOI
1910
Depth mapping, warping, stereoscopic image, image editing
BibRef
Oh, J.D.[Jong Dae],
Ma, S.W.[Si-Wei],
Kuo, C.C.J.[C.C. Jay],
Stereo Matching via Disparity Estimation and Surface Modeling,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Sheng, H.[Hao],
Zhang, S.[Shuo],
Cao, X.,
Fang, Y.,
Xiong, Z.[Zhang],
Geometric Occlusion Analysis in Depth Estimation Using Integral
Guided Filter for Light-Field Image,
IP(26), No. 12, December 2017, pp. 5758-5771.
IEEE DOI
1710
ASI, depth estimation,
geometric occlusion analysis,
light-field image, occluded point detection,
occlusion boundary similarity, Image color analysis,
boundary similarity.
BibRef
Sheng, H.[Hao],
Zhao, P.[Pan],
Zhang, S.[Shuo],
Zhang, J.[Jun],
Yang, D.[Da],
Occlusion-aware depth estimation for light field using
multi-orientation EPIs,
PR(74), No. 1, 2018, pp. 587-599.
Elsevier DOI
1711
Light, field
BibRef
Li, K.Y.[Kun-Yuan],
Zhang, J.[Jun],
Gao, J.[Jun],
Qi, M.[Meibin],
Self-Supervised Light Field Depth Estimation Using Epipolar Plane
Images,
3DV21(731-740)
IEEE DOI
2201
Training, Learning systems, Sensitivity, Estimation, Light fields,
Image restoration, light field, depth estimation, EPI,
self-supervised learning
BibRef
Sheng, H.[Hao],
Zhang, S.[Shuo],
Zhu, G.L.[Geng-Liang],
Xiong, Z.[Zhang],
Guided integral filter for light field stereo matching,
ICIP15(852-856)
IEEE DOI
1512
Depth Estimation
BibRef
Lei, H.,
Jung, C.,
Reliability-Based Discontinuity-Preserving Stereo Matching,
CirSysVideo(26), No. 10, October 2016, pp. 1970-1975.
IEEE DOI
1610
BibRef
Ye, X.Q.[Xiao-Qing],
Gu, Y.Z.[Yu-Zhang],
Chen, L.L.[Li-Li],
Li, J.M.[Jia-Mao],
Wang, H.[Han],
Zhang, X.L.[Xiao-Lin],
Order-Based Disparity Refinement Including Occlusion Handling for
Stereo Matching,
SPLetters(24), No. 10, October 2017, pp. 1483-1487.
IEEE DOI
1710
dense high-accuracy depth maps, error propagation, filling order,
BibRef
Ye, X.Q.[Xiao-Qing],
Li, J.M.[Jia-Mao],
Wang, H.[Han],
Zhan, X.L.[Xiao-Lin],
Feature Ensemble Network with Occlusion Disambiguation for Accurate
Patch-Based Stereo Matching,
IEICE(E100-D), No. 12, December 2017, pp. 3077-3080.
WWW Link.
1712
BibRef
Li, A.[Ang],
Yuan, Z.J.[Ze-Jian],
Ling, Y.G.[Yong-Gen],
Chi, W.C.[Wan-Chao],
Zhang, S.H.[Sheng-Hao],
Zhang, C.[Chong],
Unsupervised Occlusion-Aware Stereo Matching With Directed Disparity
Smoothing,
ITS(23), No. 7, July 2022, pp. 7457-7468.
IEEE DOI
2207
BibRef
Earlier: A1, A2, Only:
Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning,
ACCV18(VI:197-213).
Springer DOI
1906
Smoothing methods, Estimation, Backpropagation, Training,
Unsupervised learning, Robots, Optical losses, Stereo, occlusion, unsupervised learning
BibRef
Min, D.B.[Dong-Bo],
Yea, S.H.[Se-Hoon],
Vetro, A.[Anthony],
Occlusion handling based on support and decision,
ICIP10(1777-1780).
IEEE DOI
1009
In stereo.
BibRef
Wang, W.[Wei],
Zhang, C.M.[Cai-Ming],
Hu, X.[Xia],
Li, W.T.[Wei-Tao],
Occlusion-Aided Weights for Local Stereo Matching,
AVSS10(476-481).
IEEE DOI
1009
BibRef
Wangsiripitak, S.[Somkiat],
Murray, D.W.[David W.],
Reducing mismatching under time-pressure by reasoning about visibility
and occlusion,
BMVC10(xx-yy).
HTML Version.
1009
Occlusions in image correspondence.
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching for Stereo, Varying Illumination, Radiometric Changes .