![\"semanticpaint_teasernew\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2015\/06\/semanticpaint_teasernew.png\")
<\/p>\n<\/p>\n
SemanticPaint Video: (opens in new tab)<\/span><\/a> Supplementary Material Video: Main Con<\/SPAN>tacts: <\/span><\/p>\n We present a new interactive approach to 3D scene understanding. Our system, SemanticPaint, allows users to simultaneously scan their environment, whilst interactively segmenting the scene simply by reaching out and touching any desired object or surface. Our system continuously learns from these segmentations, and labels new unseen parts of the environment. Unlike offline systems, where […]<\/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":"","footnotes":""},"research-area":[13556,13562,13554],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171483","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"6\/29\/2015","related-publications":[168293],"related-downloads":[],"related-videos":[322889],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Antonio Criminisi","user_id":41790,"people_section":"Section name 0","alias":"acriminisi"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171483","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171483\/revisions"}],"predecessor-version":[{"id":875997,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171483\/revisions\/875997"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171483"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171483"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171483"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171483"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n![\"SemanticPaint](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/\/semanticpaint-semanticpaintyoutube.png\" "\\"SemanticPaint")
(opens in new tab)<\/span><\/a><\/SPAN><\/SPAN><\/span><\/span><\/p>\n
\n<\/a>![\"SemanticPaint](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/\/semanticpaint-semanticpaintsupplyoutube.png\" "\\"SemanticPaint")
(opens in new tab)<\/span><\/a><\/SPAN><\/SPAN><\/span><\/span><\/p>\n\n
\nInteractive 3D Technologies, Microsoft Research:\u00a0<\/a><\/li>\n<\/ul>\n\n
\nTorr Vision Group, University of Oxford:\u00a0http:\/\/www.robots.ox.ac.uk\/~tvg\/ (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"