{"id":182863,"date":"2007-08-24T00:00:00","date_gmt":"2009-10-31T10:06:07","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/symmetry-detection-and-symmetrization\/"},"modified":"2018-08-14T11:23:22","modified_gmt":"2018-08-14T18:23:22","slug":"symmetry-detection-and-symmetrization","status":"publish","type":"msr-video","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/video\/symmetry-detection-and-symmetrization\/","title":{"rendered":"Symmetry Detection and Symmetrization"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In the first part of the talk, I will first give a brief overview of recent research in my group on 3D shape analysis, modeling, and animation. The second part will be devoted to symmetry. I will discuss our work on finding and enhancing partial and approximate symmetries in 2D and 3D geometry using a suitable symmetry transformation space. In this space, symmetry detection can be formulated as a clustering operation. Symmetrization, a method for enhancing symmetries in geometric models, is implemented as an optimization process that couples the spatial domain and the symmetry transformation space to drive a constrained deformation model that pulls the shape towards symmetry. I will derive these methods step-by- step on simple 2D examples and show various applications where symmetry can be utilized such as complexity reduction, structure analysis, and correspondence computation.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the first part of the talk, I will first give a brief overview of recent research in my group on 3D shape analysis, modeling, and animation. The second part will be devoted to symmetry. I will discuss our work on finding and enhancing partial and approximate symmetries in 2D and 3D geometry using a [&hellip;]<\/p>\n","protected":false},"featured_media":194783,"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":[13551],"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-182863","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-graphics-and-multimedia","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/25HFJtMuZjA","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/182863","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/182863\/revisions"}],"predecessor-version":[{"id":500768,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/182863\/revisions\/500768"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media\/194783"}],"wp:attachment":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media?parent=182863"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=182863"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=182863"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=182863"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=182863"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=182863"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=182863"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=182863"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=182863"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=182863"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}