{"id":327884,"date":"2016-11-28T10:44:15","date_gmt":"2016-11-28T18:44:15","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=327884"},"modified":"2018-10-16T20:00:03","modified_gmt":"2018-10-17T03:00:03","slug":"quantitative-qualitative-comparison-area-feature-based-stereo-algorithms","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/quantitative-qualitative-comparison-area-feature-based-stereo-algorithms\/","title":{"rendered":"Quantitative and Qualitative Comparison of Some Area and Feature-based Stereo Algorithms"},"content":{"rendered":"<p>Evaluating the performance of stereo algorithms, both in terms of robustness and precision, is of critical importance as they become more amenable to practical applications. It is, however, a hard task because no unified testbed exists. In this paper, we use the algorithms that have been developed at INRIA in recent years to propose a number of methods that can be used to achieve this task and evaluate the appropriateness of algorithms for given applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Evaluating the performance of stereo algorithms, both in terms of robustness and precision, is of critical importance as they become more amenable to practical applications. It is, however, a hard task because no unified testbed exists. In this paper, we use the algorithms that have been developed at INRIA in recent years to propose a [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Wolfgang Forstner and Stephan Ruwiedel, editors, Robust Computer Vision: Quality of Vision Algorithms, Wichmann,Karlsruhe, Germany","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"1-26","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"1992-08-09","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13562],"msr-publication-type":[193721],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-327884","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"1992-08-09","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Wolfgang Forstner and Stephan Ruwiedel, editors, Robust Computer Vision: Quality of Vision Algorithms, Wichmann,Karlsruhe, Germany","msr_pages_string":"1-26","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"459918","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"quantitative-and-qualitative-comparison-of-some-area-and-feature-based-stereo-algorithms","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/11\/Quantitative-and-Qualitative-Comparison-of-Some-Area-and-Feature-based-Stereo-Algorithms.pdf","id":459918,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Olivier Faugeras","user_id":0,"rest_url":false},{"type":"text","value":"P. 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