10.1.10.5 Multi-Scale Matching for Stereo

Chapter Contents (Back)
Stereo, Matching. Multi-Scale. Hierarchical. o
See also Stereo Systems: Multiple Resolutions, Hierarchical.

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.[Junhua], 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


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.[Liangji],
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 .


Last update:Mar 16, 2024 at 20:36:19