{"id":{"repo_id":"bologna","oai_identifier":"oai:amsdottorato.cib.unibo.it:1482"},"canonical_url":"https://search.dev.ndltd.org/etd/bologna/oai:amsdottorato.cib.unibo.it:1482","repository":{"repo_id":"bologna","name":"Università di Bologna","base_url":"https://amsdottorato.unibo.it/cgi/oai2"},"display":{"title":"Methodologies for visual correspondence","abstract":"Visual correspondence is a key computer vision task that aims at identifying projections of the same 3D point into images taken either from different viewpoints or at different time instances. This task has been the subject of intense research activities in the last years in scenarios such as object recognition, motion detection, stereo vision, pattern matching, image registration. The approaches proposed in literature typically aim at improving the state of the art by increasing the reliability, the accuracy or the computational efficiency of visual correspondence algorithms. 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