{"id":183784,"date":"2005-11-29T00:00:00","date_gmt":"2009-10-31T13:01:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/some-recent-results-in-camera-calibration-and-shape-reconstruction\/"},"modified":"2016-09-09T09:49:53","modified_gmt":"2016-09-09T16:49:53","slug":"some-recent-results-in-camera-calibration-and-shape-reconstruction","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/some-recent-results-in-camera-calibration-and-shape-reconstruction\/","title":{"rendered":"Some recent results in camera calibration and shape reconstruction"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this talk I will give an overview of some recent work done by my research group in the area of camera calibration and 3D reconstruction.  In terms of calibration, I will both address photometric and geometric calibration issues.  We have recently developed a robust photometric calibration procedure that estimates exposure changes, the camera response curve and vignetting from images.  I will also present a simple linear method for fish-eye and cata-dioptric camera calibration and present a new RANSAC approach suited for dealing with quasi-degenerate data.   In terms of reconstruction, I will first present an 3D shape reconstruction approach that uses both silhouette and photoconsistency constraints.  In our approach silhouette constraints are enforced exactly, while photoconsistency and smoothness are optimized.  Finally, I will address the problem of articulated structure and motion recovery from a single camera stream.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this talk I will give an overview of some recent work done by my research group in the area of camera calibration and 3D reconstruction. In terms of calibration, I will both address photometric and geometric calibration issues. We have recently developed a robust photometric calibration procedure that estimates exposure changes, the camera response [&hellip;]<\/p>\n","protected":false},"featured_media":195192,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-183784","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/HpBrMsd2mEU","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183784","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183784\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/195192"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=183784"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=183784"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=183784"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=183784"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=183784"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=183784"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=183784"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=183784"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=183784"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=183784"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}