{"day":"15","_id":"18380","status":"public","quality_controlled":"1","article_processing_charge":"No","abstract":[{"text":"This work presents a novel approach for detecting inliers in a given set of correspondences (matches). It does so without explicitly identifying any consensus set, based on a method for inlier rate estimation (IRE). Given such an estimator for the inlier rate, we also present an algorithm that detects a globally optimal transformation. We provide a theoretical analysis of the IRE method using a stochastic generative model on the continuous spaces of matches and transformations. This model allows rigorous investigation of the limits of our IRE method for the case of 2D-translation, further giving bounds and insights for the more general case. Our theoretical analysis is validated empirically and is shown to hold in practice for the more general case of 2D-affinities. In addition, we show that the combined framework works on challenging cases of 2D-homography estimation, with very few and possibly noisy inliers, where RANSAC generally fails.","lang":"eng"}],"citation":{"mla":"Litman, Roee, et al. “Inverting RANSAC: Global Model Detection via Inlier Rate Estimation.” <i>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>, 7299161, IEEE, 2015, doi:<a href=\"https://doi.org/10.1109/cvpr.2015.7299161\">10.1109/cvpr.2015.7299161</a>.","apa":"Litman, R., Korman, S., Bronstein, A. M., &#38; Avidan, S. (2015). Inverting RANSAC: Global model detection via inlier rate estimation. In <i>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>. Boston, MA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr.2015.7299161\">https://doi.org/10.1109/cvpr.2015.7299161</a>","chicago":"Litman, Roee, Simon Korman, Alex M. Bronstein, and Shai Avidan. “Inverting RANSAC: Global Model Detection via Inlier Rate Estimation.” In <i>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE, 2015. <a href=\"https://doi.org/10.1109/cvpr.2015.7299161\">https://doi.org/10.1109/cvpr.2015.7299161</a>.","short":"R. Litman, S. Korman, A.M. Bronstein, S. Avidan, in:, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2015.","ista":"Litman R, Korman S, Bronstein AM, Avidan S. 2015. Inverting RANSAC: Global model detection via inlier rate estimation. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Conference on Computer Vision and Pattern Recognition, 7299161.","ama":"Litman R, Korman S, Bronstein AM, Avidan S. Inverting RANSAC: Global model detection via inlier rate estimation. In: <i>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE; 2015. doi:<a href=\"https://doi.org/10.1109/cvpr.2015.7299161\">10.1109/cvpr.2015.7299161</a>","ieee":"R. Litman, S. Korman, A. M. Bronstein, and S. Avidan, “Inverting RANSAC: Global model detection via inlier rate estimation,” in <i>2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Boston, MA, United States, 2015."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"IEEE","oa_version":"None","date_published":"2015-10-15T00:00:00Z","title":"Inverting RANSAC: Global model detection via inlier rate estimation","conference":{"name":"IEEE Conference on Computer Vision and Pattern Recognition","location":"Boston, MA, United States","start_date":"2015-06-07","end_date":"2015-06-12"},"publication_status":"published","language":[{"iso":"eng"}],"publication":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":[{"last_name":"Litman","first_name":"Roee","full_name":"Litman, Roee"},{"last_name":"Korman","full_name":"Korman, Simon","first_name":"Simon"},{"orcid":"0000-0001-9699-8730","first_name":"Alexander","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein"},{"last_name":"Avidan","first_name":"Shai","full_name":"Avidan, Shai"}],"publication_identifier":{"isbn":["9781467369640"],"eissn":["1063-6919"]},"year":"2015","extern":"1","doi":"10.1109/cvpr.2015.7299161","month":"10","date_updated":"2024-12-04T14:06:06Z","scopus_import":"1","date_created":"2024-10-15T11:20:54Z","article_number":"7299161","type":"conference"}