{"doi":"10.1109/ICCV.2001.937668","publication_status":"published","citation":{"short":"V. Kolmogorov, R. Zabih, in:, Proceedings of the 8th IEEE International Conference on Computer Vision, IEEE, 2001, pp. 508–515.","apa":"Kolmogorov, V., & Zabih, R. (2001). Computing visual correspondence with occlusions using graph cuts. In Proceedings of the 8th IEEE International Conference on Computer Vision (Vol. 2, pp. 508–515). Vancouver, Canada: IEEE. https://doi.org/10.1109/ICCV.2001.937668","mla":"Kolmogorov, Vladimir, and Ramin Zabih. “Computing Visual Correspondence with Occlusions Using Graph Cuts.” Proceedings of the 8th IEEE International Conference on Computer Vision, vol. 2, IEEE, 2001, pp. 508–15, doi:10.1109/ICCV.2001.937668.","ista":"Kolmogorov V, Zabih R. 2001. Computing visual correspondence with occlusions using graph cuts. Proceedings of the 8th IEEE International Conference on Computer Vision. ICCV: International Conference on Computer Vision vol. 2, 508–515.","ama":"Kolmogorov V, Zabih R. Computing visual correspondence with occlusions using graph cuts. In: Proceedings of the 8th IEEE International Conference on Computer Vision. Vol 2. IEEE; 2001:508-515. doi:10.1109/ICCV.2001.937668","ieee":"V. Kolmogorov and R. Zabih, “Computing visual correspondence with occlusions using graph cuts,” in Proceedings of the 8th IEEE International Conference on Computer Vision, Vancouver, Canada, 2001, vol. 2, pp. 508–515.","chicago":"Kolmogorov, Vladimir, and Ramin Zabih. “Computing Visual Correspondence with Occlusions Using Graph Cuts.” In Proceedings of the 8th IEEE International Conference on Computer Vision, 2:508–15. IEEE, 2001. https://doi.org/10.1109/ICCV.2001.937668."},"conference":{"name":"ICCV: International Conference on Computer Vision","end_date":"2001-07-14","start_date":"2001-07-07","location":"Vancouver, Canada"},"oa_version":"None","language":[{"iso":"eng"}],"extern":"1","article_processing_charge":"No","publisher":"IEEE","publist_id":"3514","abstract":[{"lang":"eng","text":"Several new algorithms for visual correspondence based on graph cuts [7, 14, 17] have recently been developed. While these methods give very strong results in practice, they do not handle occlusions properly. Specifically, they treat the two input images asymmetrically, and they do not ensure that a pixel corresponds to at most one pixel in the other image. In this paper, we present a new method which properly addresses occlusions, while preserving the advantages of graph cut algorithms. We give experimental results for stereo as well as motion, which demonstrate that our method performs well both at detecting occlusions and computing disparities."}],"intvolume":" 2","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","title":"Computing visual correspondence with occlusions using graph cuts","_id":"3169","quality_controlled":"1","volume":2,"page":"508 - 515","month":"08","date_updated":"2023-05-15T14:45:50Z","date_created":"2018-12-11T12:01:47Z","publication":"Proceedings of the 8th IEEE International Conference on Computer Vision","status":"public","type":"conference","year":"2001","day":"01","publication_identifier":{"isbn":["0769511430"]},"date_published":"2001-08-01T00:00:00Z","author":[{"id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","first_name":"Vladimir","last_name":"Kolmogorov","full_name":"Kolmogorov, Vladimir"},{"full_name":"Zabih, Ramin","last_name":"Zabih","first_name":"Ramin"}]}