10.1.10.1 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

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

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

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
Electronic mail 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.[Zejian],
Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning,
ACCV18(VI:197-213).
Springer DOI 1906
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:Sep 9, 2019 at 16:26:55