10.1.10.2 Matching for Stereo, Occlusion, Discontinuity Analysis

Chapter Contents (Back)
Stereo, Matching. Occlusion.

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

Mozerov, M.G., van de Weijer, J.,
One-View Occlusion Detection for Stereo Matching With a Fully Connected CRF Model,
IP(28), No. 6, June 2019, pp. 2936-2947.
IEEE DOI 1905
image matching, random processes, stereo image processing, trees (mathematics), OVOD solution, energy minimization process, geodesic distance filter 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


Sippel, F.[Frank], Seiler, J.[Jürgen], Kaup, A.[André],
Fast Edge-Aware Occlusion Detection in The Context of Multispectral Camera Arrays,
ICIP24(2115-2120)
IEEE DOI Code:
WWW Link. 2411
Image registration, Runtime, Multispectral imaging, Image edge detection, Source coding, Pipelines, Estimation, Camera Array BibRef

Liu, Z.[Zihua], Li, Y.Z.[Yi-Zhou], Okutomi, M.[Masatoshi],
Global Occlusion-Aware Transformer for Robust Stereo Matching,
WACV24(3523-3532)
IEEE DOI 2404
Correlation, Estimation, Benchmark testing, Transformers, Iterative methods, Algorithms, 3D computer vision BibRef

Brousseau, P.A.[Pierre-André], Roy, S.[Sébastien],
A Permutation Model for the Self-Supervised Stereo Matching Problem,
CRV22(122-131)
IEEE DOI 2301
Instruments, Estimation, Self-supervised learning, Standards, Testing, Autonomous robots, Permutation, Stereo, Self-Supervised, Occlusions BibRef

Fan, X.L.[Xiu-Le], Jeon, S.[Soo], Fidan, B.[Baris],
Occlusion-Aware Self-Supervised Stereo Matching with Confidence Guided Raw Disparity Fusion,
CRV22(132-139)
IEEE DOI 2301
Deep learning, Training, Pipelines, Neural networks, Robot vision systems, Prediction algorithms, Cameras, robot vision 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 .


Last update:Nov 26, 2024 at 16:40:19