密集立体匹配20年论文整理

https://blog.csdn.net/xuyuhua1985/article/details/26283389

 

1994

Kanade T, Okutomi M. A stereo matching algorithm with an adaptive window: Theory and experiment[J]. TPAMI, 1994, 16(9): 920-932.

被引用次数：1204

1995

Luo A, Burkhardt H. An intensity-based cooperative bidirectional stereo matching with simultaneous detection of discontinuities and occlusions[J]. IJCV, 1995, 15(3): 171-188.

被引用次数：68
1996

Koschan A, Rodehorst V, Spiller K. Color stereo vision using hierarchical block matching and active color illumination[C]// ICPR, 1996, 1: 835-839.

被引用次数：67
1997

1998

Pritchett P, Zisserman A. Wide baseline stereo matching[C]//Computer Vision, 1998. Sixth International Conference on. IEEE, 1998: 754-760.

被引用次数：309
Scharstein D, Szeliski R. Stereo matching with nonlinear diffusion[J]. International Journal of Computer Vision, 1998, 28(2): 155-174.

被引用次数：309
2000

Zitnick C L, Kanade T. A cooperative algorithm for stereo matching and occlusion detection[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2000, 22(7): 675-684.

被引用次数：519
Tuytelaars T, Van Gool L J. Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions[C]//BMVC. 2000, 412.

被引用次数：519
2001

Kang S B, Szeliski R, Chai J. Handling occlusions in dense multi-view stereo[C]//Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. IEEE, 2001, 1: I-103-I-110 vol. 1.

被引用次数：277
2002

Sun J, Shum H Y, Zheng N N. Stereo matching using belief propagation[M]//Computer Vision—ECCV 2002. Springer Berlin Heidelberg, 2002: 510-524.

被引用次数：171

Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International journal of computer vision, 2002, 47(1-3): 7-42.

被引用次数：4456
2003

Sun J, Zheng N N, Shum H Y. Stereo matching using belief propagation[J]. TPAMI, 2003, 25(7): 787-800.

被引用次数：858
Veksler O. Fast variable window for stereo correspondence using integral images[C]// CVPR 2003, 1: I-556-I-561 vol. 1.

被引用次数：299
2004

Hong L, Chen G. Segment-based stereo matching using graph cuts[C]//Computer Vision and Pattern Recognition, 2004. CVPR 2004. IEEE, 2004, 1: I-74-I-81 Vol. 1.

被引用次数：272
2005

Hirschmuller H. Accurate and efficient stereo processing by semi-global matching and mutual information[C]// CVPR 2005. 2: 807-814.被引用次数：394

经典的Semi-Global方法！

Sun J, Li Y, Kang S B, et al. Symmetric stereo matching for occlusion handling[C]// CVPR 2005. 2: 399-406.

 被引用次数：347

2006

Klaus A, Sormann M, Karner K. Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure[C]//  ICPR 2006, 3: 15-18.

被引用次数：595

这篇论文很厉害，在middleburry2.0上一直占据前10名。

Yoon K J, Kweon I S. Adaptive support-weight approach for correspondence search[J]. IEEE TPAMI, 2006, 28(4): 650-656. 

被引用次数：595

首此采用双边滤波器做立体匹配。从此以后，引起了很多的自适应权重滤波方法。
2007

Hirschmuller H, Scharstein D. Evaluation of cost functions for stereo matching[C]// CVPR 2007: 1-8.

被引用次数：354

Gong M, Yang R, Wang L, et al. A performance study on different cost aggregation approaches used in real-time stereo matching[J]. IJCV, 2007, 75(2): 283-296.

被引用次数：139
Gehrig S K, Franke U. Improving stereo sub-pixel accuracy for long range stereo[C]//Computer Vision, 2007. ICCV 2007: 1-7.

被引用次数：38
Mattoccia S, Tombari F, Di Stefano L. Stereo vision enabling precise border localization within a scanline optimization framework[M]// ACCV 2007. : 517-527.

被引用次数：32
Goesele M, Snavely N, Curless B, et al. Multi-view stereo for community photo collections[C]//  ICCV 2007: 1-8.

被引用次数：301
Hernández C, Vogiatzis G, Cipolla R. Probabilistic visibility for multi-view stereo[C]// CVPR 2007.: 1-8.

2008

Wang Z F, Zheng Z G. A region based stereo matching algorithm using cooperative optimization[C]// CVPR 2008: 1-8.

被引用次数：213
Xu L, Jia J. Stereo matching: An outlier confidence approach[M]// ECCV 2008: 775-787.被引用次数：36
Min D, Sohn K. Cost aggregation and occlusion handling with WLS in stereo matching[J]. Image Processing, IEEE Transactions on, 2008, 17(8): 1431-1442.
Pollefeys M, Nistér D, Frahm J M, et al. Detailed real-time urban 3d reconstruction from video[J]. IJCV, 2008, 78(2-3): 143-167.

被引用次数：361
Bradley D, Boubekeur T, Heidrich W. Accurate multi-view reconstruction using robust binocular stereo and surface meshing[C]//CVPR 2008. : 1-8.
2009

Yang Q, Wang L, Yang R, et al. Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling[J]. TPAMI, 2009, 31(3): 492-504.

被引用次数：406
Zhang G, Jia J, Wong T T, et al. Consistent depth maps recovery from a video sequence[J]. TPAMI, 2009, 31(6): 974-988.

被引用次数：140
Hiep V H, Keriven R, Labatut P, et al. Towards high-resolution large-scale multi-view stereo[C]// CVPR 2009.: 1430-1437.

Sinha S N, Steedly D, Szeliski R. Piecewise planar stereo for image-based rendering[C]//ICCV. 2009: 1881-1888.

2010

Yang Q, Wang L, Ahuja N. A constant-space belief propagation algorithm for stereo matching[C]// CVPR, 2010 IEEE Conference on. IEEE, 2010: 1458-1465.

Frahm J M, Fite-Georgel P, Gallup D, et al. Building Rome on a cloudless day[M]// ECCV 2010: 368-381.
Furukawa Y, Ponce J. Accurate, dense, and robust multiview stereopsis[J]. TPAMI 2010, 32(8): 1362-1376.
Beeler T, Bickel B, Beardsley P, et al. High-quality single-shot capture of facial geometry[J]. ACM Transactions on Graphics (TOG), 2010, 29(4): 40.

2011

Geiger A, Roser M, Urtasun R. Efficient large-scale stereo matching[M]// ACCV 2010: 25-38.

被引用次数：144

Mei X, Sun X, Zhou M, et al. On building an accurate stereo matching system on graphics hardware[C]// ICCV Workshops, 2011: 467-474.

被引用次数：112
2012

Yang Q. A non-local cost aggregation method for stereo matching[C]// CVPR 2012: 1402-1409.

被引用次数：44
2013

Ma Z, He K, Wei Y, et al. Constant Time Weighted Median Filtering for Stereo Matching and Beyond[C]. ICCV 2013.

Hosni A, Rhemann C, Bleyer M, et al. Fast cost-volume filtering for visual correspondence and beyond[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2013, 35(2): 504-511.
2014

Kang Zhang et al. Cross-Scale Cost Aggregation for Stereo Matching. CVPR 2014.
Tatsunori Taniai et al. Graph Cut based Continuous Stereo Matching using Locally Shared Labels. CVPR 2014.

2015

Leveraging Stereo Matching With Learning-Based Confidence Measures.
Min-Gyu Park, Kuk-Jin Yoon. CVPR 2015

Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision.
Stephan Schraml, Ahmed Nabil Belbachir, Horst Bischof. CVPR 2015

Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo.
Gottfried Graber, Jonathan Balzer, Stefano Soatto, Thomas Pock. CVPR 2015

Computing the Stereo Matching Cost With a Convolutional Neural Network.

Jure ?bontar, Yann LeCun. CVPR 2015

第1篇用深度学习做立体匹配的论文。用CNN计算Cost。

Exact Bias Correction and Covariance Estimation for Stereo Vision.
Charles Freundlich, Michael Zavlanos, Philippos Mordohai. CVPR 2015

 2016

PMSC: PatchMatch-based superpixel cut for accurate stereo matching[J]. 

Li L, Zhang S, Yu X, et al. 

IEEE Transactions on Circuits and Systems for Video Technology, 2016.

从2016年开始，基于深度学习的视差估计方法越来越多了。

Mayer N, Ilg E, Hausser P, et al. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 4040-4048.

这篇论文用合成的数据集来训练端到端的视差估计网络。

2017 

GC-Net

Kendall A, Martirosyan H, Dasgupta S, et al. End-to-end learning of geometry and context for deep stereo regression[J]. CoRR, vol. abs/1703.04309, 2017.

2018

Khamis S, Fanello S, Rhemann C, et al. Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction[C]//Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany. 2018: 8-14.

（号称60fps）

2018

iResNet

Liang Z, Feng Y, Guo Y, et al. Learning for disparity estimation through feature constancy[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2811-2820.

2019

GA-Net

Zhang F, Prisacariu V, Yang R, et al. GA-Net: Guided Aggregation Net for End-to-end Stereo Matching[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 185-194.

Zhang F, Qi X, Yang R, et al. Domain-invariant Stereo Matching Networks[J]. arXiv preprint arXiv:1911.13287, 2019.

Duggal S, Wang S, Ma W C, et al. Deeppruner: Learning efficient stereo matching via differentiable patchmatch[C]//Proceedings of the IEEE International Conference on Computer Vision. 2019: 4384-4393.

2020

AA-Net

Xu H, Zhang J. AANet: Adaptive Aggregation Network for Efficient Stereo Matching[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 1959-1968.