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
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
Nguyen, D.M.[Duc Minh],
Hanca, J.,
Lu, S.P.[Shao-Ping],
Munteanu, A.[Adrian],
Robust stereo matching using census cost, discontinuity-preserving
disparity computation and view-consistent refinement,
IC3D15(1-8)
IEEE DOI
1603
computer vision
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 .