Sun, C.M.[Chang-Ming],
Fast Stereo Matching Using Rectangular Subregioning and 3D
Maximum-Surface Techniques,
IJCV(47), No. 1-3, April-June 2002, pp. 99-117.
DOI Link
0203
For demo of the technique:
WWW Link.
BibRef
Earlier:
Rectangular Subregioning and 3-D Maximum-Surface Techniques,
SMBV01(xx-yy).
0110
BibRef
Earlier:
Multi-Resolution Stereo Matching Using Maximum-Surface Techniques,
DICTA99(195-200).
PS File.
BibRef
Earlier:
A Fast Stereo Matching Method,
DICTA97(95-100).
PS File. fast, dense matching, coarse-to-fine, dynamic programming
See also Fast optical flow using 3D shortest path techniques.
BibRef
Sun, C.M.[Chang-Ming],
Peleg, S.,
Fast Panoramic Stereo Matching Using Cylindrical Maximum Surfaces,
SMC-B(34), No. 1, February 2004, pp. 760-765.
IEEE Abstract.
PDF File.
0403
BibRef
Arranz, Á.,
Sánchez, Á., and
Alvar, M.,
Multiresolution energy minimisation framework for stereo matching,
IET-CV(6), No. 5, 2012, pp. 425-434.
DOI Link
1210
BibRef
Lee, Z.,
Nguyen, T.Q.,
Multi-Resolution Disparity Processing and Fusion for Large
High-Resolution Stereo Image,
MultMed(17), No. 6, June 2015, pp. 792-803.
IEEE DOI
1506
Accuracy
BibRef
Lin, H.Y.[Huei-Yung],
Lin, P.Z.[Pin-Zhi],
Hierarchical Stereo Matching with Image Bit-Plane Slicing,
MVA(24), No. 5, July 2013, pp. 883-898.
WWW Link.
1306
BibRef
Earlier:
Hierarchical Stereo Matching Based on Image Bit-Plane Slicing,
IWMV12(II:594-605).
Springer DOI
1304
BibRef
Buades, A.[Antoni],
Facciolo, G.[Gabriele],
Reliable Multiscale and Multiwindow Stereo Matching,
SIIMS(8), No. 2, 2015, pp. 888-915.
DOI Link
1507
BibRef
Zhang, K.[Kang],
Fang, Y.Q.[Yu-Qiang],
Min, D.B.[Dong-Bo],
Sun, L.F.[Li-Feng],
Yang, S.Q.[Shi-Qiang],
Yan, S.C.[Shui-Cheng],
Cross-Scale Cost Aggregation for Stereo Matching,
CirSysVideo(27), No. 5, May 2017, pp. 965-976.
IEEE DOI
1705
BibRef
Earlier:
And add:
Tian, Q.[Qi],
CVPR14(1590-1597)
IEEE DOI
1409
Kernel, Optimization, Robustness, Size measurement, Stereo vision, Sun,
Visualization, Cost aggregation, local stereo matching, multiscale
BibRef
Leelhapantu, S.[Sangsan],
Chalidabhongse, T.H.[Thanarat H.],
A speedup scheme for MRF stereo using local label hierarchy,
SIViP(12), No. 7, October 2018, pp. 1255-1263.
WWW Link.
1809
BibRef
Zeglazi, O.[Oussama],
Rziza, M.[Mohammed],
Amine, A.[Aouatif],
Demonceaux, C.[Cédric],
A hierarchical stereo matching algorithm based on adaptive support
region aggregation method,
PRL(112), 2018, pp. 205-211.
Elsevier DOI
1809
Stereo matching, Hierarchical, Edge-based Census Transform,
Cost function, Cross-based aggregation
BibRef
Kang, J.H.[Jun-Hua],
Chen, L.[Lin],
Deng, F.[Fei],
Heipke, C.[Christian],
Context pyramidal network for stereo matching regularized by
disparity gradients,
PandRS(157), 2019, pp. 201-215.
Elsevier DOI
1911
Stereo matching, Dilated convolution, Structure preserving, Gradient regularizer
BibRef
Li, H.B.[Hai-Bin],
Gao, Y.K.[Ya-Kun],
Huang, Z.Y.[Zi-Yue],
Zhang, Y.K.[Ya-Kun],
Stereo matching based on multi-scale fusion and multi-type support
regions,
JOSA-A(36), No. 9, September 2019, pp. 1523-1533.
DOI Link
1912
Edge detection, Image registration, Medical imaging,
Nonlinear spatial filtering, Stereo matching, Three dimensional reconstruction
BibRef
Deng, Y.[Yong],
Xiao, J.[Jimin],
Zhou, S.Z.Y.[Steven Zhi-Ying],
Feng, J.S.[Jia-Shi],
Detail Preserving Coarse-to-Fine Matching for Stereo Matching and
Optical Flow,
IP(30), 2021, pp. 5835-5847.
IEEE DOI
2106
Optical imaging, Neural networks, Adaptive optics, Task analysis,
Optical fiber networks, Optical computing, Estimation,
neural network
BibRef
Tao, R.S.[Rong-Shu],
Xiang, Y.M.[Yu-Ming],
You, H.J.[Hong-Jian],
A Confidence-Aware Cascade Network for Multi-Scale Stereo Matching of
Very-High-Resolution Remote Sensing Images,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Chen, Q.[Qibo],
Ge, B.Z.[Bao-Zhen],
Quan, J.N.[Jia-Ning],
Unambiguous Pyramid Cost Volumes Fusion for Stereo Matching,
CirSysVideo(34), No. 10, October 2024, pp. 9223-9236.
IEEE DOI Code:
WWW Link.
2411
Costs, Feature extraction, Semantics, Convolution, Benchmark testing,
Fuses, Stereo matching, convolutional neural network,
multi-scale representation
BibRef
Gong, R.[Rui],
Liu, W.[Weide],
Gu, Z.[Zaiwang],
Yang, X.[Xulei],
Cheng, J.[Jun],
Learning Intra-View and Cross-View Geometric Knowledge for Stereo
Matching,
CVPR24(20752-20762)
IEEE DOI Code:
WWW Link.
2410
Knowledge engineering, Codes, Computational modeling,
Pattern matching, Stereo Matching
BibRef
Lou, J.M.[Jie-Ming],
Liu, W.[Weide],
Chen, Z.[Zhuo],
Liu, F.[Fayao],
Cheng, J.[Jun],
ELFNet: Evidential Local-global Fusion for Stereo Matching,
ICCV23(17738-17747)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chen, X.H.[Xi-Hao],
Xiong, Z.W.[Zhi-Wei],
Cheng, Z.[Zhen],
Peng, J.Y.[Jia-Yong],
Zhang, Y.Y.[Yue-Yi],
Zha, Z.J.[Zheng-Jun],
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo,
CVPR22(12952-12961)
IEEE DOI
2210
Degradation, Photography, Image resolution, Estimation,
Feature extraction, 3D from multi-view and sensors, Low-level vision
BibRef
Yang, G.S.[Geng-Shan],
Manela, J.[Joshua],
Happold, M.[Michael],
Ramanan, D.[Deva],
Hierarchical Deep Stereo Matching on High-Resolution Images,
CVPR19(5510-5519).
IEEE DOI
2002
BibRef
Tan, B.,
Chen, K.,
Yao, J.,
Li, J.,
GHRNet: Guided Hierarchical Refinement Network for Stereo Matching,
ICIP19(4459-4463)
IEEE DOI
1910
Stereo matching, hierarchical neural networks,
disparity refinement, guidance block
BibRef
Pang, J.,
Sun, W.,
Yang, C.,
Ren, J.,
Xiao, R.,
Zeng, J.,
Lin, L.,
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains,
CVPR18(2070-2079)
IEEE DOI
1812
Data models, Laplace equations, Training, Adaptation models,
Smart phones, Cameras, Training data
BibRef
Song, X.[Xiao],
Zhao, X.[Xu],
Hu, H.[Hanwen],
Fang, L.J.[Liang-Ji],
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo
Matching,
ACCV18(V:20-35).
Springer DOI
1906
BibRef
Yadati, P.,
Namboodiri, A.M.,
Multiscale two-view stereo using convolutional neural networks for
unrectified images,
MVA17(346-349)
DOI Link
1708
Computational modeling, Correlation,
Image resolution, Surface texture, Three-dimensional, displays
BibRef
Xu, T.,
Cockshott, P.,
Guided filtering based pyramidical stereo matching for unrectified
images,
ICVNZ15(1-6)
IEEE DOI
1701
image filtering
BibRef
Chen, J.,
Yuan, C.,
Convolutional neural network using multi-scale information for stereo
matching cost computation,
ICIP16(3424-3428)
IEEE DOI
1610
Computer vision
BibRef
Gurbuz, Y.Z.[Yeti Ziya],
Alatan, A.A.[A. Aydin],
Cigla, C.[Cevahir],
Sparse recursive filtering for O(1) stereo matching,
ICIP15(3778-3782)
IEEE DOI
1512
Hierarchical Stereo Matching
BibRef
Zhang, Z.C.,
Dai, C.G.,
Ji, S.,
Zhao, M.Y.,
Adaptive Hierarchical Dense Matching of Multi-View Airborne Oblique
Imagery,
PIA15(289-294).
DOI Link
1504
BibRef
Grogna, D.,
Guerri, G.,
Verly, J.G.,
Stereo matching method using multiple angular signatures matched by
multidimensional dynamic timewarping (MD-DTW),
3DTV-CON14(1-4)
IEEE DOI
1409
Gaussian processes
BibRef
Yan, F.,
Wang, W.,
Liu, S.,
Chen, W.,
A Hierarchical Image Matching Method for Stereo Satellite Imagery,
IWIDF13(157-162).
DOI Link
1311
BibRef
Smirnov, S.,
Gotchev, A.,
Fast hierarchical cost volume aggregation for stereo-matching,
VCIP14(498-501)
IEEE DOI
1504
aggregation
BibRef
Rodrigues, J.M.F.,
Martins, J.A.,
Lam, R.,
du Buf, J.M.H.,
Cortical Multiscale Line-Edge Disparity Model,
ICIAR12(I: 296-303).
Springer DOI
1206
See also Invariant Multi-scale Object Categorisation and Recognition.
BibRef
Xie, Y.R.[Yi-Ran],
Cao, R.[Rui],
Tong, H.Y.[Han-Yang],
Liu, N.J.[Nian-Jun],
Liu, S.[Sheng],
Evaluating Multi-scale Over-segment and Its Contribution to Real Scene
Stereo Matching by High-Order MRFs,
DICTA10(235-240).
IEEE DOI
1012
BibRef
Elaksher, A.F.[Ahmed F.],
Alharthy, A.L.A.[Abdel-Latif A.],
Matching Conjugate Points between Multi Resolution Satellite Images
Using Geometric and Radiometric Properties,
ISPRS08(B3b: 49 ff).
PDF File.
0807
BibRef
Accame, M.[Marco],
de Natale, F.G.B.[Francesco G.B.],
Disparity estimation for stereo sequences based on adaptive size
hierarchical block matching,
CIAP95(453-458).
Springer DOI
9509
BibRef
Accame, M.,
de Natale, F.G.B.,
Giusto, D.D.,
ANN-driven edge point selection criterion,
ICIP96(I: 849-852).
IEEE DOI
9610
BibRef
Earlier:
Hierarchical block matching for disparity estimation in stereo
sequences,
ICIP95(II: 374-377).
IEEE DOI
9510
BibRef
Chen, J.S., and
Medioni, G.G.,
Parallel Multiscale Stereo Matching Using Adaptive Smoothing,
ECCV90(99-103).
Springer DOI
BibRef
9000
USC Computer Vision
Adaptive Smoothing. Extend the stereo technique using adaptive smoothing.
See also Adaptive Smoothing: A General Tool for Early Vision.
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Matching for Stereo, Correlation .