Reference list of currently published stereo methods

DateMethodRes.Reference
12/23/25SelfViTASHChuang-Wei Liu and Rui Fan. Self-improvement of stereo matching via decisive disparity diffusion. Submitted to TCSVT, 2025.
12/03/25DispViT+FAnonymous. DispViT: Direct stereo disparity regression with a single-stream vision transformer. ICLR 2026 submission 16420.
11/11/25BLMT-StereoFAnonymous. BLMT-Stereo: Breaking the local minima trap of iterative stereo matching. CVPR 2026 submission 31980 (updated ID).
11/07/25DepthFocusFAnonymous. DepthFocus: Controllable depth estimation for see-through scenes. CVPR 2026 submission 40693 (updated ID).
10/23/25VMStereo-BaseHAnonymous. VMStereo: Accurate real-time stereo matching via Vision Mamba. CVPR 2026 submission 43434 (updated ID).
09/02/25MonSter++FJunda Chen and Wenjing Liao. MonSter++: A unified geometric foundation model for multi-view depth estimation via harnessing monodepth priors. Submitted to TPAMI, 2025.
07/24/25BridgeDepthHTongfan Guan, Jiaxin Guo, Chen Wang, and Yun-Hui Liu. BridgeDepth: Bridging monocular and stereo reasoning with latent alignment. ICCV 2025. Code.
07/19/25GEAStereoFAnonymous. GEAStereo: Geometry-aware stereo-matching via monocular disparity prior and gradients. AAAI 2026 submission 7299.
07/11/25SLEDC_v1HPeng Yao, Haiwei Sang, and Linlin Ge. Stacked learning with exhaustive disparity characteristics for accurate stereo matching. Submitted to Signal Processing: Image Communication, 2025
06/27/25S2M2FJunhong Min, Youngpil Jeon, Jimin Kim, and Minyong Choi. S2M2: Scalable stereo matching model for reliable depth estimation. ICCV 2025. Code.
06/17/25PanMatchFYongjian Zhang, Longguang Wang, Kunhong Li, Ye Zhang, Yun Wang, Liang Lin, and Yulan Guo. PanMatch: Unleashing the potential of large vision models for unified matching models. arXiv:2507.08400, 2025. Submitted to TPAMI, 2025.
06/17/25UnViTAStereoHChuang-Wei Liu, Mingjian Sun, Cairong Zhao, Hanli Wang, Alexander Dvorkovich, and Rui Fan. Integrating disparity confidence estimation into relative depth prior-guided unsupervised stereo matching. TCSVT, 2025.
06/13/25IRDINAQShamsul Fakhar Abd Gani, Muhammad Fahmi Miskon, Rostam Affendi Hamzah, Mohd Saad Hamid, Ahmad Fauzan Kadmin, and Adi Irwan Herman. Refining disparity maps using deep learning and edge-aware smoothing filter. Bulletin of Electrical Engineering and Informatics, 2024.
06/05/25MGS-StereoFZhien Dai, Zhaohui Tang, Hu Zhang, and Yongfang Xie. Mgs-Stereo: Multi-scale geometric-structure-enhanced stereo matching for complex real-world scenes. IEEE TIP, 2025.
05/21/25waterstereoHXiaoyang Zhao. Monocular prior-based water surface stereo matching algorithm. Submitted to Neurocomputing, 2025.
05/10/25MatchStereoFTingman Yan, Tao Liu, Xilian Yang, Qunfei Zhao, and Zeyang Xia. MatchAttention: Matching the relative positions for high-resolution cross-view matching. Submitted to TPAMI, 2025. Code.
05/08/25DS-StereoFJie Lin, Juan Du, and Huake Wang. DS-Stereo: Deep-shallow information interaction for stereo matching. IEEE Robotics and Automation Letters, 2025.
05/07/25G2L-ROBFJie Tang, Gaofeng Peng, Jialu Liu, and Bo Yu. G2L-Stereo: Global to local two-stage real-time stereo matching network. Transactions on Computational Imaging, 2025.
04/24/25StereoAnywhereFLuca Bartolomei, Fabio Tosi, Matteo Poggi, and Stefano Mattoccia. Stereo Anywhere: Robust zero-shot deep stereo matching even where either stereo or mono fail. CVPR 2025. Code.
04/24/25M2-StereoFJie Lin. M2-Stereo: Multi scale information fusion and multi branch iteration for stereo matching. Submitted to IEEE Robotics and Automation Letters, 2025.
03/19/25G2L-StereoFJie Tang, Gaofeng Peng, Jialu Liu, and Bo Yu. G2L-Stereo: Global to local two-stage real-time stereo matching network. Transactions on Computational Imaging, 2025.
03/04/25LG-StereoFJiakang Yuan. LG-stereo: Local global cost volume for stereo matching. Submitted to TIP, 2025.
02/16/25TCMHAnze Xu, Lin Yang, Jingzhong Li, Zhen Shi, Yue Jin, YuXuan Chen, Yanxin Ni, and Guifei Li. Real-time and accurate stereo matching via tri-fusion volume for stereo vision. Neural Networks, 2025.
02/10/25GREAT-IGEVFJiahao Li, Xinhong Chen, Zhengmin Jiang, Qian Zhou, Yung-Hui Li, and Jianping Wang. Global regulation and excited attention tuning for stereo matching. ICCV 2025. Code.
02/03/25FoundationStereoFBowen Wen, Matthew Trepte, Joseph Aribido, Jan Kautz, Orazio Gallo, and Stan Birchfield. FoundationStereo: Zero-shot stereo matching. CVPR 2025. Code.
11/28/24DEFOM-Stereo_RVCFHualie Jiang, Zhiqiang Lou, Laiyan Ding, Rui Xu, Minglang Tan, Wenjie Jiang, and Rui Huang. DEFOM-Stereo: Depth foundation model based stereo matching (RVC version). arXiv:2501.09466, 2025.
11/03/24DEFOM-StereoFHualie Jiang, Zhiqiang Lou, Laiyan Ding, Rui Xu, Minglang Tan, Wenjie Jiang, and Rui Huang. DEFOM-Stereo: Depth foundation model based stereo matching. CVPR 2025. Code.
10/26/24SMoEStereo_RVCHYun Wang, Longguang Wang, Chenghao Zhang, Yongjian Zhang, Zhanjie Zhang, Ao Ma, Chenyou Fan, Tin Lun Lam, and Junjie Hu. Learning robust stereo matching in the wild with selective mixture-of-experts. ICCV 2025. Code.
08/15/24MaDis-StereoFJihye Ahn, Hyesong Choi, Soomin Kim, and Dongbo Min. MaDis-Stereo: Enhanced stereo matching via distilled masked image modeling. IEEE Access, 2025. Code.
08/13/24UniTT-StereoFSoomin Kim, Hyesong Choi, Jihye Ahn, and Dongbo Min. UniTT-Stereo: Unified training of transformer for enhanced stereo matching. arXiv:2409.02545, 2024.
08/07/24AIO-StereoFJingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, and Yangyang Zhang. All-in-One: Transferring vision foundation models into stereo matching. AAAI 2025.
07/27/24esmeaHShimeng Fan, Wei Sun, Jin Zheng, Qiang Fu, Min Xue, and Wei Wu. Accurate edge-preserving stereo matching by enhancing anisotropy. Signal Processing: Image Communication, 2023.
07/22/24apnetQYansong Zhu, Songwei Pei, BingFeng Liu, and Jun Gao. AP-Net: Attention-fused volume and progressive aggregation for accurate stereo matching. Neurocomputing, 2025.
06/27/24CAS++FJunhong Min and Youngpil Jeon. Confidence aware stereo matching for realistic cluttered scenario. ICIP 2024.
06/14/24IGEV++FGangwei Xu, Xianqi Wang, Zhaoxing Zhang, Junda Cheng, Chunyuan Liao, and Xin Yang. IGEV++: Iterative multi-range geometry encoding volumes for stereo matching. TPAMI, 2025. Code.
06/06/24MoCha-V2FZiyang Chen, Wei Long, He Yao, Yongjun Zhang, Bingshu Wang, Yongbin Qin, and Jia Wu. MoCha-Stereo: Motif channel attention network for stereo matching. CVPR 2024. Code.
05/17/24FormerRaft_RVCFYongjian Zhang, Longguang Wang, Kunhong Li, Yun Wang, and Yulan Guo. Learning representations from foundation models for domain generalized stereo matching. ECCV 2024.
04/19/24DCSEHGuowei An, Yaonan Wang, Kai Zeng, Qing Zhu, Xiaofang Yuan, and Yang Mo. Deep contextual structure and semantic feature enhancement stereo network. IEEE Access, 2024.
02/21/24ClearDepthFKaixin Bai, Huajian Zeng, Lei Zhang, Yiwen Liu, Hongli Xu, Zhaopeng Chen, and Jianwei Zhang. ClearDepth: Efficient stereo perception of transparent objects for robotic manipulation. arXiv:2409.08926, 2024.
02/19/24HCRHTuming Yuan, Jiancheng Hu, ShuangJiang Ou, Weijia Yang, and Yafang Hei. Hourglass cascaded recurrent stereo matching network. Image and Vision Computing, 2024. Code.
01/31/24HARTFZiyang Chen, Wenting Li, Yongjun Zhang, Bingshu Wang, Yabo Wu, Yong Zhao, and C. L. Philip Chen. Hadamard attention recurrent transformer: A strong baseline for stereo matching transformer. arXiv:2501.01023, 2025. Code.
01/08/24GINetHAixin Chong, Hui Yin, Qianqian Du, Yanting Liu, and Ming Han. Gradual interaction network for stereo matching. Pattern Recognition, 2025.
01/08/24DualNetHYun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, and Junjie Hu. DualNet: Robust self-supervised stereo matching with pseudo-label supervision. AAAI 2025.
12/31/23H-CENSTQMuhammad Nazmi Zainal Azali, Rostam Affendi Hamzah, and Zarina Mohd Noh. Disparity map algorithm using census transform and hierarchical segment-tree from stereo image. ETIC 2022.
12/08/234D-IteraStereoHGongBen Han, Shuo Shan, YinHui Xu, KanJian Zhang, and HaiKun Wei. 4D-IteraStereo: stereo matching via 4D cost volume aggregation and iterative optimization. Measurement Science and Technology, 2025.
11/14/23Selective-IGEVFXianqi Wang, Gangwei Xu, Hao Jia, and Xin Yang. Selective-Stereo: Adaptive frequency information selection for stereo matching. CVPR 2024. Code.
10/30/23LoSFKunhong Li, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, and Yulan Guo. LoS: Local structure-guided stereo matching. CVPR 2024.
10/09/23EGLCR-StereoFZhien Dai, Zhaohui Tang, Hu Zhang, Can Tian, Mingjun Pan, and Yongfang Xie. Eglcr: Edge structure guidance and scale adaptive attention for iterative stereo matching. ACMMM 2024. Code.
09/27/23FM-DTQMadiha Zahari, Rostam Affendi Hamzah, Nurulfajar Abd Manap, and Adi Irwan Herman. Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation. Bulletin of Electrical Engineering and Informatics, 2023.
08/13/23Any-RAFTFZhaohuai Liang and Changhe Li. Any-Stereo: Arbitrary scale disparity estimation for iterative stereo matching. AAAI 2024. Code.
08/10/23CroCo-StereoFPhilippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Bregier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, and Jerome Revaud. CroCo v2: Improved cross-view completion pre-training for stereo matching and optical Flow. ICCV 2023. Code.
06/22/23IGEV-StereoFGangwei Xu, Xianqi Wang, Xiaohuan Ding, and Xin Yang. Iterative Geometry Encoding Volume for Stereo Matching. CVPR 2023. Code.
06/10/23SSVM-CFPMFHPeng Yao, Haiwei Sang, and Xu Cheng. Structured support vector machine with coarse-to-fine PatchMatch filtering for stereo matching. The Visual Computer, 2024.
04/28/23ADStereoHYun Wang, Kunhong Li, Longguang Wang, Junjie Hu, Dapeng Oliver Wu, and Yulan Guo. ADStereo: Efficient stereo matching with adaptive downsampling and disparity alignment. IEEE TIP, 2025. Code.
04/19/23DMCANetHKai Zeng, Hui Zhang, Wei Wang, Yaonan Wang, and Jianxu Mao. Deep stereo network with MRF-based cost aggregation. IEEE TCSVT, 2024.
03/08/23GOAT18HZihua Liu, Yizhou Li, and Masatoshi Okutomi. Global occlusion-aware transformer for robust stereo matching. WACV 2024. Code.
03/07/23PCVNetHJiaxi Zeng, Chengtang Yao, Lidong Yu, Yuwei Wu, and Yunde Jia. Parameterized cost volume for stereo matching. ICCV 2023. Code.
12/06/22Ct-NetHYuanwei Bi, Chuanbiao Li, Xiangrong Tong, Guohui Wang, and Haiwei Sun. An application of stereo matching algorithm based on transfer learning on robots in multiple scenes. Scientific Reports, 2023.
12/02/22GANet+ADLHPeng Xu, Zhiyu Xiang, Chengyu Qiao, Jingyun Fu, and Tianyu Pu. Adaptive multi-modal cross-entropy loss for stereo matching. CVPR 2024.
11/11/22ICVPHOh-Hun Kwon and Eduard Zell. Image-coupled volume propagation for stereo matching. ICIP 2023.
11/10/22DLNRFHaoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, and Yong Zhao. High-frequency Stereo Matching Network. CVPR 2023. Code.
10/26/22DCANetHYun Wang, Longguang Wang, Kunhong Li, Yongjian Zhang, Dapeng Oliver Wu, and Yulan Guo. Cost volume aggregation in stereo matching revisited: A disparity classification perspective. IEEE TIP, 2024.
10/16/22LMCR-StereoFZiyu Zhong, Xiuze Yang, Xiubian Pan, Wei Guan, Ke Liang, Jing Li, Xiaolan Liao, and Shuo Wang. An efficient and accurate multi-level cascaded recurrent network for stereo matching. Scientific Reports, 2024.
10/08/22MANetHXiaowei Yang, Lin He, Yong Zhao, Haiwei Sang, Zu Liu Yang, and Xian Jing Cheng. Multi-attention network for stereo matching. IEEE Access, vol. 8, 2020.
10/07/22GwcSliceHHan Li, Guohua Gou, Hao Zhang, Xuanhao Wang, Yang Ye, and Haigang Sui. Adaptive slice stereo matching network. Journal of Electronic Imaging, 2024.
10/03/22iRaftStereo_RVCHHualie Jiang. An improved RaftStereo trained with multiple mixed datasets for Robust Vision Challenge. RVC 2022 entry.
10/03/22GEStereo_RVCFAntyanta Bangunharcana. GEStereo_RVC. RVC 2022 entry.
10/03/22CroCo_RVCFPhilippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Bregier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, and Jerome Revaud. CroCo: Self-supervised pretraining for 3D vision tasks by cross-view completion. NeurIPS 2022; RVC 2022 entry. Code.
10/03/22raft+_RVCFZhelun Shen. Raftstereo+ for Robust Vision Challenge 2022. RVC 2022 entry.
10/02/22MaskLacGwcNet_RVCHZhibo Rao. MaskLacGwcNet_RVC. RVC 2022 entry.
10/02/22CREStereo++_RVCFJunpeng Jing and Jiankun Li. CREStereo++_RVC: Cascaded recurrent network for robust stereo matching. RVC 2022 entry.
09/27/22FCDSN-DCHDominik Hirner and Friedrich Fraundorfer. FCDSN-DC: An accurate and lightweight convolutional neural network for stereo estimation with depth completion. ICPR 2022.
09/20/22LWNetHXiaowei Yang, Yong Zhao, Zhiguo Feng, Haiwei Sang, Zhenbo Zhang, Guiying Zhang, and Lin He. A light-weight stereo matching network based on multi-scale features fusion and robust disparity refinement. IET Image Processing, 2023.
09/01/22GMStereoFHaofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, and Andreas Geiger. Unifying flow, stereo and depth estimation. TPAMI, 2023. Code.
08/29/22MCP-HA-VQQA. F. Kadmin, R. A. Hamzah, M. N. Abd Manap, M. S. Hamid, and T. F. Tg. Wook. Local stereo matching algorithm using modified dynamic cost computation. IJEECS 22(3), 2022.
08/09/22issgaHPengxiang Li, Chengtang Yao, Yunde Jia, and Yuwei Wu. Inter-scale similarity guided cost aggregation for stereo matching. IEEE Transactions on Circuits and Systems for Video Technology, 2025.
08/08/22UCFNet_RVCHZhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, and Liangjun Zhang. Digging into uncertainty-based pseudo-label for robust stereo matching. TPAMI, 2023.
08/05/22RDNetHXiaowei Yang, Zhiguo Feng, Yong Zhao, Guiying Zhang, and Lin He. Edge supervision and multi-scale cost volume for stereo matching. Image and Vision Computing, Volume 117, January 2022, 104336.
06/13/22EAI-StereoFHaoliang Zhao, Huizhou Zhou, Yongjun Zhang, Yong Zhao, Yitong Yang, and Ting Ouyang. EAI-Stereo: Error aware iterative network for stereo matching. ACCV 2022.
05/25/22LSMSWHChao He, Ming Li, Congxuan Zhang, Peilong Zhong, Zhongkai Zhou, and Junjie Wu. Local stereo matching with side window. Optik, 2023.
04/11/22Z2ZNCCQQiong Chang et al. Efficient stereo matching on embedded GPUs with zero-means cross correlation. Journal of Systems Architecture, 2022.
02/28/22CSTRHWeiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille, and Yingwei Li. Context-enhanced stereo transformer. ECCV 2022. Code.
01/27/22UPFNetHQibo Chen, Baozhen Ge, and Jianing Quan. Unambiguous pyramid cost volumes fusion for stereo matching. IEEE TCSVT, 2024.
11/22/21Gwc_CoAtRSHJunda Cheng, Gangwei Xu, Peng Guo, and Xin Yang. Coatrsnet: Fully exploiting convolution and attention for stereo matching by region separation. IJCV, 2023.
11/21/21FENetHShenglun Chen, Hong Zhang, Baoli Sun, Haojie Li, Xinchen Ye, and Zhihui Wang. Feature enhancement network for stereo matching. Image and Vision Computing, 2023.
11/10/21CREStereoFJiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, and Shuaicheng Liu. Practical stereo matching via cascaded recurrent network with adaptive correlation. CVPR 2022. Code.
10/17/21ACVNetHGangwei Xu, Junda Cheng, Peng Guo, and Xin Yang. Attention concatenation volume for accurate and efficient stereo matching. CVPR 2022.
09/20/21GANet-RSSMHJunda Cheng, Xin Yang, Yuechuan Pu, and Peng Guo. Region separable stereo matching. IEEE Transactions on Multimedia, 2023.
08/24/21MMStereoFKrishna Shankar, Mark Tjersland, Jeremy Ma, Kevin Stone, and Max Bajracharya. A learned stereo depth system for robotic manipulation in homes. IEEE Robotics and Automation Letters, 2022.
07/27/21RAFT-StereoFLahav Lipson, Zachary Teed, and Jia Deng. RAFT-Stereo: Multilevel recurrent field transforms for stereo matching. 3DV 2021. Code.
07/24/21HBP_ISPHTingman Yan, Xilian Yang, Genke Yang, and Qunfei Zhao. Hierarchical belief propagation on image segmentation pyramid. IEEE TIP 2023. Code.
07/14/21MFN_USFDSRVCHZhengyu Huang, Theodore Norris, and Panqu Wang. ES-Net: An efficient stereo matching network. arXiv:2103.03922, 2021.
06/11/21R3DCNNHRongcheng Wu, Changming Sun, Zhaoying Liu, and Arcot Sowmya. Deep learning based stereo cost aggregation on a small dataset. DICTA 2021.
06/10/21ReS2tACQBoitumelo Ruf, Jonas Mohrs, Martin Weinmann, Stefan Hinz, and Jürgen Beyerer. ReS2tAC - UAV-borne real-time SGM stereo optimized for embedded ARM and CUDA devices. MDPI Sensors 21(11), 2021.
06/07/21FADNet++QQiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, and Xiaowen Chu. FADNet++: Real-time disparity estimation by configurable network structure. arXiv:2110.02582, 2021. Code.
06/02/21FADNet_RVCHQiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, and Xiaowen Chu. FADNet: A fast and accurate network for disparity estimation. ICRA 2020. Code.
05/10/21ADSGQHao Liu, Hanlong Zhang, Xiaoxi Nie, Wei He, Dong Luo, Guohua Jiao and Wei Chen. Stereo matching algorithm based on two-phase adaptive optimization of AD-census and gradient fusion. IEEE RCAR 2021.
04/22/21LESCHXianjing Cheng, Yong Zhao, Wenbang Yang, Zhijun Hu, Xiaomin Yu, Haiwei Sang, and Guiying Zhang. Superpixel cut-based local expansion for accurate stereo matching. IET Image Processing, 2021.
03/05/21LocalExp-RCHHaiwei Sang, Zuliu Yang, Yong Xu, Xianjing Cheng, Weicheng Xiong, and Yong Zhao. Local expansion moves for stereo matching based on random sample consensus confidence. Journal of Electronic Imaging, 2022.
03/05/21ORStereoFYaoyu Hu, Wenshan Wang, Huai Yu, Weikun Zhen, and Sebastian Scherer. ORStereo: Occlusion-aware recurrent stereo matching for 4K-resolution images. arXiv:2103.07798, 2021.
12/24/20ACR-GIF-OWQLingyin Kong, Jiangping Zhu, and Sancong Ying. Local stereo matching using adaptive cross-region based guided image filtering with orthogonal weights. Mathematical Problems in Engineering, 2021.
12/23/20SLCCFHPeng Yao and Jieqing Feng. Stacking learning with coalesced cost filtering for accurate stereo matching. Journal of Visual Communication and Image Representation 2021.
11/25/20LPSCHXianjing Cheng, Yong Zhao, Raja Soosaimarian Peter Raj, Zhijun Hu, Xiaomin Yu, and Wenbang Yang. Local PatchMatch based on superpixel cut for efficient high-resolution stereo matching. BABT (Brazilian Archives of Biology and Technology), 2022.
11/21/20DecStereoFChengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, and Yuwei Wu. A decomposition model for stereo matching. CVPR 2021.
11/16/20SSCasStereoHJu He, Enyu Zhou, Liusheng Sun, Fei Lei, Chenyang Liu, and Wenxiu Sun. Semi-synthesis: a fast way to produce effective datasets for stereo matching. arXiv:2101.10811, 2021.
11/12/20UnDAF-GANetHHengli Wang, Rui Fan, Peide Cai, Ming Liu, and Lujia Wang. UnDAF: A general unsupervised domain adaptation framework for disparity or optical flow estimation. ICRA 2022.
11/12/20RLStereoHMenglong Yang, Fangrui Wu, and Wei Li. RLStereo: Real-time stereo matching based on reinforcement learning. IEEE TIP, 2021.
11/10/20FC-DCNNHDominik Hirner. FC-DCNN: A densely connected neural network for stereo estimation. ICPR 2020.
10/28/20HITNetHVladimir Tankovich, Christian Häne, Yinda Zhang, Adarsh Kowdle, Sean Fanello, and Sofien Bouaziz. HITNet: Hierarchical iterative tile refinement network for real-time stereo matching. CVPR 2021.
09/09/20AdaStereoFXiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, and Jianping Shi. AdaStereo: A simple and efficient approach for adaptive stereo matching. CVPR 2021.
09/03/20LPSMQChenglong Xu, Chengdong Wu, Daokui Qu, Fang Xu, Haibo Sun, and Jilai Song. Accurate and efficient stereo matching by log-angle and pyramid-tree. IEEE TCSVT, 2021.
08/12/20CFNet_RVCHZhelun Shen, Yuchao Dai, and Zhibo Rao. CFNet: Cascade and fused cost volume for robust stereo matching. CVPR 2021. Code.
08/12/20NLCA_NET_v2_RVCHZhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He. NLCA-Net: A non-local context attention network for stereo matching. APSIPA Transactions on Signal and Information Processing, 2020. RVC 2020 entry.
08/10/20CVANet_RVCQHaoyu Ren. Cost-volume attention network. RVC 2020 entry.
07/21/20AANet_RVCHHaofei Xu and Juyong Zhang. AANet: Adaptive aggregation network for efficient stereo matching. CVPR 2020. RVC 2020 entry.
07/17/20GANetREF_RVCHGA-Net reference entry as baseline for RVC 2020. Original reference: Feihu Zhang, Victor Prisacariu, Ruigang Yang, and Philip Torr. GA-Net: Guided Aggregation Net for End-to-end Stereo Matching. CVPR 2019.
07/16/20HLocalExp-CMHXianjing Cheng and Yong Zhao. HLocalExp-CM: Confidence map by hierarchical local expansion moves for stereo matching. To appear in Journal of Electronic Imaging, 2022.
06/08/20MANEHHector Vazquez, Madain Perez, Abiel Aguilar, Miguel Arias, Marco Palacios, Antonio Perez, Jose Camas, and Sabino Trujillo. Real-time multi-window stereo matching algorithm with fuzzy logic. IET Computer Vision, 2021.
05/28/20RTSMNetHYun Xie, Shaowu Zheng, and Weihua Li. Feature-guided spatial attention upsampling for real-time stereo matching. IEEE MultiMedia, 2021.
05/28/20LEAStereoHXuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge. Hierarchical neural architecture search for deep stereo matching. NeurIPS 2020.
05/20/20AANet++HHaofei Xu and Juyong Zhang. AANet: Adaptive aggregation network for efficient stereo matching. CVPR 2020.
05/19/20SUWNetQHaoyu Ren, Mostafa El-Khamy, and Jungwon Lee. Stereo disparity estimation via joint supervised, unsupervised, and weakly supervised learning. ICIP 2020.
05/14/20SRMHJames Okae, Juan Du, and Yueming Hu. Robust statistical approach to stereo disparity map denoising and refinement. Control Theory and Technology, 2020.
03/13/20MTSFRafael Brandt, Nicola Strisciuglio, Nicolai Petkov, and Michael Wilkinson. Efficient binocular stereo correspondence matching with 1-D max-trees. Pattern Recognition Letters 2020.
02/25/20SGBMPFYaoyu Hu, Weikun Zhen, and Sebastian Scherer. Deep-learning assisted high-resolution binocular stereo depth reconstruction. ICRA 2020.
02/20/20CRARHLinghua Zeng and Xinmei Tian. CRAR: Accelerating stereo matching with cascaded regression and adaptive refinement. ACM TOMM, 2022.
02/08/20CasStereoHXiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan. Cascade cost volume for high-resolution multi-view stereo and stereo matching. CVPR 2020.
01/07/20ADSR_GIFQLingyin Kong, Jiangping Zhu, and Sancong Ying. Stereo matching based on guidance image and adaptive support region. Acta Optica Sinica, 2020.
01/05/20MTS2FRafael Brandt, Nicola Strisciuglio, and Nicolai Petkov. MTStereo 2.0: Improved accuracy of stereo depth estimation. arXiv:2006.15373, 2020.
01/03/20PPEP-GFQYuli Fu, Kaimin Lai, Weixiang Chen, and Youjun Xiang. A pixel pair based encoding pattern for stereo matching via an adaptively weighted cost. IET Image Processing, 2020.
12/30/19F-GDGIFHWeimin Yuan, Cai Meng, Xiaoyan Tong, and Zhaoxi Li. Efficient local stereo matching algorithm based on fast gradient domain guided image filtering. Signal Processing: Image Communication, 2021.
12/19/19CRLEHHuaiyuan Xu, Xiaodong Chen, Haitao Liang, Siyu Ren, Yi Wang, and Huaiyu Cai. CrossPatch-based rolling label expansion for dense stereo matching. IEEE Access, 2020.
11/15/19SPPSMNetFFengting Yang, Qian Sun, Hailin Jin, and Zihan Zhou. Superpixel segmentation with fully convolutional networks. CVPR 2020.
11/14/19HSM-Smooth-OccFJialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, and Jan Kautz. Improving deep stereo network generalization with geometric priors. arXiv:2008.11098, 2020.
11/11/19CACA-NetQChengtang Yao, Yunde Jia, Huijun Di, Yuwei Wu, and Lidong Yu. Content-aware inter-scale cost aggregation for stereo matching. arXiv:2006.03209, 2020.
11/07/19LBPSHPatrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, and Thomas Pock. Belief propagation reloaded: Learning BP layers for dense prediction tasks. CVPR 2020. Code.
07/26/19EdgeStereoFXiao Song, Xu Zhao, Liangji Fang, and Hanwen Hu. Edgestereo: An effective multi-task learning network for stereo matching and edge detection. To appear in IJCV 2019.
06/26/19DeepPruner_ROBQShivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, and Raquel Urtasun. DeepPruner: Learning efficient stereo matching via differentiable PatchMatch. ICCV 2019. Code.
05/15/19PSMNet_2000HWei Bao, Wei Wang, Yuhua Xu, Yulan Guo, Siyu Hong, and Xiaohu Zhang. InStereo2K: a large real dataset for stereo matching in indoor scenes. Science China Information Sciences, 2020. Dataset.
05/13/19VNHPatrick Knöbelreiter and Thomas Pock. Learned collaborative stereo refinement. GCPR 2019.
05/10/19tMGM-16FSonali Patil, Tanmay Prakash, Bharath Comandur, and Avinash Kak. A comparative evaluation of SGM variants (including a new variant, tMGM) for dense stereo matching. arXiv:1911.09800, 2019.
04/12/19TCSCSMHChunbo Cheng, Hong Li, and Liming Zhang. An unsupervised stereo matching cost based on sparse representation. International Journal of Wavelets, Multiresolution and Information Processing, 2021.
03/10/193DMST-CMHYuhao Xiao, Dingding Xu, Guijin Wang, Xiaowei Hu, Yongbing Zhang, Xiangyang Ji, and Li Zhang. Confidence map based 3D cost aggregation with multiple minimum spanning trees for stereo matching. ACPR 2019.
03/07/19SM-AWPQSiti Safwana Abd Razak, Mohd Azlishah Othman, and Ahmad Fauzan Kadmin. The effect of adaptive weighted bilateral filter on stereo matching algorithm. International Journal of Engineering and Advanced Technology(IJEAT) 8(3) 2019, C5839028319.
02/15/19DAWA-FHJulia Navarro and Antoni Buades. Semi-dense and robust image registration by shift adapted weighted aggregation and variational completion. Image and Vision Computing, 2019.
02/05/19AMNetQXianzhi Du, Mostafa El-Khamy, and Jungwon Lee. AMNet: Deep atrous multiscale stereo disparity estimation networks. arXiv:1904.09099, 2019.
01/17/19FASWQWenhuan Wu, Hong Zhu, Shunyuan Yu, and Jing Shi. Stereo matching with fusing adaptive support weights. IEEE Access 7:61960-61974, 2019.
01/12/19EHCI_netHRun Wang. An end to end network for stereo matching using exploiting hierarchical context information. Master's thesis, HUST, 2019.
12/18/18MCV-MFCHZhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, and Hengzhu Liu. Stereo matching using multi-level cost volume and multi-scale feature constancy. PAMI 2019.
11/29/18MSFNetAHKyung-Rae Kim, Yeong Jun Koh, and Chang-Su Kim. Multiscale feature extractors for stereo matching cost computation. IEEE Access 6:27971-27983, 2018.
11/12/18MBMHQiong Chang and Tsutomu Maruyama. Real-time stereo vision system: a multi-block matching on GPU. IEEE Access 6:27971-27983, 2018.
11/08/18HSM-Net_RVCFGengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan. Hierarchical deep stereo matching on high-resolution images. CVPR 2019. Code. Also in RVC 2020.
11/07/18IEBIMstHChao He, Congxuan Zhang, Zhen Chen, and Shaofeng Jiang. Minimum spanning tree based stereo matching using image edge and brightness information. CISP-BMEI 2017.
10/30/18iResNetHZhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, and Jianfeng Zhang. Learning for disparity estimation through feature constancy. CVPR 2018.
10/29/18Dense-CNNHCongxuan Zhang, Junjie Wu, Zhen Chen, Wen Liu, Ming Li, and Shaofeng Jiang. Dense-CNN: Dense convolutional neural network for stereo matching using multiscale feature connection. Signal Processing: Image Communication, 2021.
10/10/18DISCOHKunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, and Pankaj Bajpai. DISCO: Depth inference from stereo using context. ICME 2019.
07/31/18MotionStereoHJulien Valentin, Adarsh Kowdle, Jonathan Barron, et al. Depth from motion for smartphone AR. ACM TOG 37(6):193 (Proc. of SIGGRAPH Asia), 2018.
06/27/18DCNNHWendong Mao, Mingjie Wang, Jun Zhou, and Minglun Gong. Semi-dense stereo matching using dual CNNs. WACV 2019.
06/14/18MSMD_ROBQHaihua Lu, Hai Xu, Li Zhang, Yanbo Ma, and Yong Zhao. Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching. VCIP 2018.
06/06/18CBMBNetHYu Chen, Youshen Xia, and Chenwang Wu. A crop-based multi-branch network for matching cost computation. CISP-BMEI 2018.
06/01/18CBMV_ROBHKonstantinos Batsos, Changjiang Cai, and Philippos Mordohai. CBMV: A coalesced bidirectional matching volume for disparity estimation. ROB 2018 entry based on CVPR 2018 paper.
05/31/18iResNet_ROBHZhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, and Jianfeng Zhang. Learning for disparity estimation through feature constancy. ROB 2018 entry based on CVPR 2018 paper.
05/31/18FBW_ROBHBenedikt Wiberg. Stereo matching with neural networks. Bachelors thesis, TU Munich 2018. ROB 2018 entry.
05/26/18NOSS_ROBHPenglei Ji, Jie Li, Hanchao Li, and Xinguo Liu. Superpixel alpha-expansion and normal adjustment for stereo matching. Journal of Visual Communication and Image Representation, 2021.
05/22/18DN-CSS_ROBHTonmoy Saikia, Eddy Ilg, and Thomas Brox. DispNet-CSS: Robust Vision submission. ROB 2018 entry.
05/18/18PDSHStepan Tulyakov, Anton Ivanov, and Francois Fleuret. Practical deep stereo (PDS): Toward applications-friendly deep stereo matching. NeurIPS 2018.
05/01/18PSMNet_ROBQJia-Ren Chang and Yong-Sheng Chen. Pyramid stereo matching network. CVPR 2018. Code. ROB 2018 entry by Hisao Chien Yang.
04/17/18ISMQRostam Affendi Hamzah, Fauzan Kadmin, Saad Hamid, Fakhar Ghani, and Haidi Ibrahim. Improvement of stereo matching algorithm for 3D surface reconstruction. Signal Processing: Image Communication 65:165-172, 2018.
03/26/18ELAS_RVCHAndreas Geiger, Martin Roser, and Raquel Urtasun. Efficient large-scale stereo matching. ACCV 2010. Code. RVC 2020 baseline.
03/23/18AVERAGE_ROBHAverage disparity over all training images of the ROB 2018 stereo challenge.
03/23/18MEDIAN_ROBHMedian disparity over all training images of the ROB 2018 stereo challenge.
03/14/18DTSHAkash Bapat and Jan-Michael Frahm. The domain transform solver. CVPR 2019.
03/11/18SGM-ForestHJohannes Schönberger, Sudipta Sinha, and Marc Pollefeys. Learning to fuse proposals from multiple scanline optimizations in semi-global matching. ECCV 2018.
03/09/18SGM_RVCHHeiko Hirschmüller. Stereo processing by semi-global matching and mutual information. CVPR 2006; PAMI 30(2):328-341, 2008. RVC 2020 baseline.
02/28/18SDRHTingman Yan, Yangzhou Gan, Zeyang Xia, and Qunfei Zhao. Segment-based disparity refinement with occlusion handling for stereo matching. IEEE TIP 2019. Code.
02/08/18DFQWendong Mao and Minglun Gong. Disparity filtering with 3D convolutional neural networks. CRV 2018.
12/11/17OVODHMikhail Mozerov and Joost van de Weijer. One-view-occlusion detection for stereo matching with a fully connected CRF model. IEEE TIP 28(6):2936-2947, 2019. Code.
11/13/17CBMVHKonstantinos Batsos, Changjiang Cai, and Philippos Mordohai. CBMV: A Coalesced bidirectional matching volume for disparity estimation. CVPR 2018. Code.
10/12/17FEN-D2DRRHXiaoqing Ye, Jiamao Li, Han Wang, Hexiao Huang, and Xiaolin Zhang. Efficient stereo matching leveraging deep local and context information. IEEE Access 5:18745-18755, 2017.
06/22/17LocalExpHTatsunori Taniai, Yasuyuki Matsushita, Yoichi Sato, and Takeshi Naemura. Continuous 3D label stereo matching using local expansion moves. PAMI 40(11):2725-2739, 2018. Code.
06/14/17DoGGuidedQMasamichi Kitagawa, Ikuko Shimizu, and Radim Sara. High accuracy local stereo matching using DoG scale map. IAPR MVA 2017.
05/23/17r200highHLeonid Keselman, John Woodfill, Anders Grunnet-Jepsen, and Achintya Bhowmik. Intel RealSense stereoscopic depth cameras. CVPR workshop CCD 2017.
04/05/17DDLQJihao Yin, Hongmei Zhu, Ding Yuan, and Tianfan Xue. Sparse representation over discriminative dictionary for stereo matching. Pattern Recognition 71:278-289, 2017. Code.
03/23/17DSGCAQWilliem and In Kyu Park. Deep self-guided cost aggregation for stereo matching. Pattern Recognition Letters 112:168-175, 2018.
03/22/17JMRHPatrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, and Thomas Pock. End-to-end training of hybrid CNN-CRF models for stereo. CVPR 2017. Code.
03/10/17MC-CNN+TDSRFSebastien Drouyer, Serge Beucher, Michel Bilodeau, Maxime Moreaud, and Loic Sorbier. Sparse stereo disparity map densification using hierarchical image segmentation. 13th International Symposium on Mathematical Morphology, 2017.
03/09/17SGMEPiFDaniel Scharstein, Tatsunori Taniai, and Sudipta Sinha. Semi-global stereo matching with surface orientation priors. 3DV 2017.
01/25/173DMSTHLincheng Li, Xin Yu, Shunli Zhang, Xiaolin Zhao, and Li Zhang. 3D cost aggregation with multiple minimum spanning trees for stereo matching. Applied Optics 56(12):3411-3420, 2017.
01/16/17IGFQRostam Affendi Hamzah, Haidi Ibrahim, and A. H. Abu Hassan. Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation. Journal of Visual Communication and Image Representation, 42:145-160, 2017.
11/25/16ADSMQNing Ma, Yobo Men, Chaoguang Men, and Xiang Li. Accurate dense stereo matching based on image segmentation using an adaptive multi-cost approach. Symmetry 8(12):159, 2016.
11/16/16MCSCFMenglong Yang and Xuebin Lv. Learning both matching cost and smoothness constraint for stereo matching. Neurocomputing 314:234-241, 2018.
11/15/16MC-CNN-WSHStepan Tulyakov, Anton Ivanov, and Francois Fleuret. Weakly supervised learning of deep metrics for stereo reconstruction. ICCV 2017.
11/07/16SPSFChloe LeGendre, Konstantinos Batsos, and Philippos Mordohai. High-resolution stereo matching based on sampled photoconsistency computation. BMVC 2017.
10/23/16SIGMRFQSonam Nahar and Manjunath Joshi. A learned sparseness and IGMRF-based regularization framework for dense disparity estimation using unsupervised feature learning. IPSJ CVA 9:2, 2017.
10/19/16LW-CNNHHaesol Park and Kyoung Mu Lee. Look wider to match image patches with convolutional neural network. IEEE Signal Processing Letters 24(12):1788-1792, 2017.
09/14/16SNP-RSMHShuangli Zhang, Weijian Xie, Guofeng Zhang, Hujun Bao, and Michael Kaess. Robust stereo matching with surface normal prediction. ICRA 2017.
08/31/16SEDFDexmont Pena and Alistair Sutherland. Disparity estimation by simultaneous edge drawing. ACCV 2016 Workshop on 3D modelling and applications.
07/03/16LPUHLuis Horna and Robert Fisher. 3D plane labeling stereo matching with content aware adaptive windows. VISAPP 2017.
05/28/16APAP-StereoHMin-Gyu Park and Kuk-Jin Yoon. As-planar-as-possible depth map estimation. CVIU 181:50-59, 2019.
05/12/16PMSCHLincheng Li, Shunli Zhang, Xin Yu, and Li Zhang. PMSC: PatchMatch-based superpixel cut for accurate stereo matching. IEEE TCSVT 28(3):679-692, 2016.
04/28/16JEMQHongyang Xue and Deng Cai. Stereo matching by joint energy minimization. arXiv:1601.03890, 2016.
04/24/16HLSC_corHSimon Hadfield, Karel Lebeda, and Richard Bowden. Stereo reconstruction using top-down cues. CVIU 157:206-222, 2017.
04/03/16ICSGFMozhdeh Shahbazi, Gunho Sohn, Jerome Theau, and Patrick Menard. Revisiting intrinsic curves for efficient dense stereo matching. ISPRS Congress 2016.
03/15/16MPSVQJean-Charles Bricola, Michel Bilodeau, and Serge Beucher. Morphological processing of stereoscopic image superimpositions for disparity map estimation. HAL archives, hal-01330139f, 2016.
02/18/16LS-ELASFRadouane Ait-Jellal, Manuel Lange, Benjamin Wassermann, Andreas Schilling, and Andreas Zell. LS-ELAS: line segment based efficient large scale stereo matching. ICRA 2017.
01/26/16MC-CNN-fstHJure Zbontar and Yann LeCun. Stereo matching by training a convolutional neural network to compare image patches (fast architecture). JMLR 17:1-32, 2016. Code.
01/19/16NTDEHKyung-Rae Kim and Chang-Su Kim. Adaptive smoothness constraints for efficient stereo matching using texture and edge information. ICIP 2016.
12/18/15INTSHXu Huang, Yongjun Zhang, and Zhaoxi Yue. Image-guided non-local dense matching with three-steps optimization. ISPRS Congress 2016.
11/04/15MC-CNN+RBSHJonathan Barron and Ben Poole. The fast bilateral solver. ECCV 2016. Code.
10/13/15MDPHAng Li, Dapeng Chen, Yuanliu Liu, and Zejian Yuan. Coordinating multiple disparity proposals for stereo computation. CVPR 2016.
09/28/15R-NCCFYichao Li and Suping Fang. Removal-based multi-view stereo using a window-based matching method. Optik 178:1318-1336, 2019.
09/14/15ELASFAndreas Geiger, Martin Roser, and Raquel Urtasun. Efficient large-scale stereo matching. ACCV 2010. Code.
08/28/15MC-CNN-acrtHJure Zbontar and Yann LeCun. Stereo matching by training a convolutional neural network to compare image patches (accurate architecture). JMLR 17:1-32, 2016. Code.
04/20/15MeshStereoHChi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Hongyang Chao, and Yong Rui. MeshStereo: A global stereo model with mesh alignment regularization for view interpolation. ICCV 2015.
04/17/15TMAPHEric Psota, Jedrzej Kowalczuk, Mateusz Mittek, and Lance Perez. MAP disparity estimation using hidden Markov trees. ICCV 2015.
04/09/15PFSFCevahir Cigla and Aydin Alatan. Information permeability for stereo matching. Signal Processing: Image Communication 28(9), 2013.
04/08/15REAFHCevahir Cigla. Recursive edge-aware filters for stereo matching. CVPR Embedded Vision Workshop 2015.
01/21/15TSGOFMikhail Mozerov and Joost van de Weijer. Accurate stereo matching by two-step energy minimization. IEEE TIP 24(3):1153-1163, 2015.
10/07/14IDRHJedrzej Kowalczuk, Eric Psota, and Lance Perez. Real-time stereo Matching on CUDA using an iterative refinement method for adaptive support-weight correspondences. IEEE TCSVT 23(1):94-104, 2013.
09/18/14SNCCHNils Einecke and Julian Eggert. A two-stage correlation method for stereoscopic depth estimation. DICTA 2010.
09/10/14LAMC_DSMHChristos Stentoumis, Lazaros Grammatikopoulos, Ilias Kalisperakis, and George Karras. On accurate dense stereo-matching using a local adaptive multi-cost approach. ISPRS Journal of Photogrammetry and Remote Sensing 91:29-49, 2014.
08/31/14BSMQKang Zhang, Jiyang Li, Yijing Li, Weidong Hu, Lifeng Sun, and Shiqiang Yang. Binary stereo matching. ICPR 2012.
08/27/14LPSFSudipta Sinha, Daniel Scharstein, and Richard Szeliski. Efficient high-resolution stereo matching using local plane sweeps. CVPR 2014.
08/25/14LPSHSudipta Sinha, Daniel Scharstein, and Richard Szeliski. Efficient high-resolution stereo matching using local plane sweeps. CVPR 2014.
07/28/14SGMFHeiko Hirschmüller. Stereo processing by semi-global matching and mutual information. CVPR 2006; PAMI 30(2):328-341, 2008.
07/28/14SGMHHeiko Hirschmüller. Stereo processing by semi-global matching and mutual information. CVPR 2006; PAMI 30(2):328-341, 2008.
07/28/14SGBM1HOpenCV 2.4.8 StereoSGBM method, single-pass variant. Reimplementation and modification of H. Hirschmüller's SGM method (CVPR 2006; PAMI 2008).
07/28/14Cens5HHeiko Hirschmüller, Peter Innocent, and Jon Garibaldi. Real-time correlation-based stereo vision with reduced border errors. IJCV 47(1-3):229-246, 2002.
07/25/14SGBM1FOpenCV 2.4.8 StereoSGBM method, single-pass variant. Reimplementation and modification of H. Hirschmüller's SGM method (CVPR 2006; PAMI 2008).
07/25/14SGMQHeiko Hirschmüller. Stereo processing by semi-global matching and mutual information. CVPR 2006; PAMI 30(2):328-341, 2008.
07/25/14SGBM1QOpenCV 2.4.8 StereoSGBM method, single-pass variant. Reimplementation and modification of H. Hirschmüller's SGM method (CVPR 2006; PAMI 2008).
07/25/14SGBM2QOpenCV 2.4.8 StereoSGBM method, full variant (2 passes). Reimplementation of H. Hirschmüller's SGM method (CVPR 2006; PAMI 2008).