{"id":247949,"date":"2010-07-03T20:46:27","date_gmt":"2010-07-04T03:46:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=247949"},"modified":"2024-08-22T00:27:46","modified_gmt":"2024-08-22T07:27:46","slug":"visual-computing","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/visual-computing\/","title":{"rendered":"Visual Computing"},"content":{"rendered":"

Computer Vision is an exciting research area that studies how to make computers efficiently perceive, process, <\/i>and understand<\/i> visual data such as images and videos. The ultimate goal is for computers to emulate the striking perceptual capability of human eyes and brains, or even to surpass and assist the human in certain ways. The Visual Computing Group at Microsoft Research Asia consists of an elite team of researchers whose expertise spans the spectrum of research topics in computer vision, from mathematical theory to practical applications, from physical systems to software development, and from low-level image processing to high-level image understanding.<\/p>\n","protected":false},"excerpt":{"rendered":"

Computer Vision is an exciting research area that studies how to make computers efficiently perceive, process, and understand visual data such as images and videos. The ultimate goal is for computers to emulate the striking perceptual capability of human eyes and brains, or even to surpass and assist the human in certain ways. The Visual […]<\/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_group_start":"","footnotes":""},"research-area":[13562],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-247949","msr-group","type-msr-group","status-publish","hentry","msr-research-area-computer-vision","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199560,1012650],"related-researchers":[{"type":"user_nicename","display_name":"Jianmin Bao","user_id":38622,"people_section":".","alias":"jianbao"},{"type":"user_nicename","display_name":"Dong Chen","user_id":31661,"people_section":".","alias":"doch"},{"type":"user_nicename","display_name":"Qi Dai","user_id":36689,"people_section":".","alias":"qid"},{"type":"user_nicename","display_name":"Baining Guo","user_id":31169,"people_section":".","alias":"bainguo"},{"type":"user_nicename","display_name":"Steve Lin","user_id":33735,"people_section":".","alias":"stevelin"},{"type":"user_nicename","display_name":"Chong Luo","user_id":31450,"people_section":".","alias":"cluo"},{"type":"user_nicename","display_name":"Kai Qiu","user_id":38988,"people_section":".","alias":"kaqiu"},{"type":"user_nicename","display_name":"Zhirong Wu","user_id":37914,"people_section":".","alias":"wuzhiron"},{"type":"user_nicename","display_name":"Jiaolong Yang","user_id":36125,"people_section":".","alias":"jiaoyan"},{"type":"user_nicename","display_name":"Yuhui Yuan","user_id":42912,"people_section":".","alias":"yuyua"}],"related-publications":[650598],"related-downloads":[],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/247949"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/247949\/revisions"}],"predecessor-version":[{"id":1079010,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/247949\/revisions\/1079010"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=247949"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=247949"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=247949"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=247949"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=247949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}