HAND TRACKING BASED ON ARTICULATED DISTANCE FIELD
An electronic device estimates a pose of a hand by volumetrically deforming a signed distance field using a skinned tetrahedral mesh to locate a local minimum of an energy function, wherein the local minimum corresponds to the hand pose. The electronic device identifies a pose of the hand by fitting...
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creator | TAYLOR, Jonathan James IZADI, Shahram TANKOVICH, Vladimir DAVIDSON, Philip L KIM, David TANG, Danhang KOWDLE, Adarsh Prakash Murthy KESKIN, Cem |
description | An electronic device estimates a pose of a hand by volumetrically deforming a signed distance field using a skinned tetrahedral mesh to locate a local minimum of an energy function, wherein the local minimum corresponds to the hand pose. The electronic device identifies a pose of the hand by fitting an implicit surface model of a hand to the pixels of a depth image that correspond to the hand. The electronic device uses a skinned tetrahedral mesh to warp space from a base pose to a deformed pose to define an articulated signed distance field from which the hand tracking module derives candidate poses of the hand. The electronic device then minimizes an energy function based on the distance of each corresponding pixel to identify the candidate pose that most closely approximates the pose of the hand. |
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The electronic device then minimizes an energy function based on the distance of each corresponding pixel to identify the candidate pose that most closely approximates the pose of the hand.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181206&DB=EPODOC&CC=US&NR=2018350105A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20181206&DB=EPODOC&CC=US&NR=2018350105A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TAYLOR, Jonathan James</creatorcontrib><creatorcontrib>IZADI, Shahram</creatorcontrib><creatorcontrib>TANKOVICH, Vladimir</creatorcontrib><creatorcontrib>DAVIDSON, Philip L</creatorcontrib><creatorcontrib>KIM, David</creatorcontrib><creatorcontrib>TANG, Danhang</creatorcontrib><creatorcontrib>KOWDLE, Adarsh Prakash Murthy</creatorcontrib><creatorcontrib>KESKIN, Cem</creatorcontrib><title>HAND TRACKING BASED ON ARTICULATED DISTANCE FIELD</title><description>An electronic device estimates a pose of a hand by volumetrically deforming a signed distance field using a skinned tetrahedral mesh to locate a local minimum of an energy function, wherein the local minimum corresponds to the hand pose. The electronic device identifies a pose of the hand by fitting an implicit surface model of a hand to the pixels of a depth image that correspond to the hand. The electronic device uses a skinned tetrahedral mesh to warp space from a base pose to a deformed pose to define an articulated signed distance field from which the hand tracking module derives candidate poses of the hand. The electronic device then minimizes an energy function based on the distance of each corresponding pixel to identify the candidate pose that most closely approximates the pose of the hand.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDD0cPRzUQgJcnT29vRzV3ByDHZ1UfD3U3AMCvF0DvVxDAFyXTyDQxz9nF0V3DxdfVx4GFjTEnOKU3mhNDeDsptriLOHbmpBfnxqcUFicmpeakl8aLCRgaGFsamBoYGpo6ExcaoAvMInCQ</recordid><startdate>20181206</startdate><enddate>20181206</enddate><creator>TAYLOR, Jonathan James</creator><creator>IZADI, Shahram</creator><creator>TANKOVICH, Vladimir</creator><creator>DAVIDSON, Philip L</creator><creator>KIM, David</creator><creator>TANG, Danhang</creator><creator>KOWDLE, Adarsh Prakash Murthy</creator><creator>KESKIN, Cem</creator><scope>EVB</scope></search><sort><creationdate>20181206</creationdate><title>HAND TRACKING BASED ON ARTICULATED DISTANCE FIELD</title><author>TAYLOR, Jonathan James ; IZADI, Shahram ; TANKOVICH, Vladimir ; DAVIDSON, Philip L ; KIM, David ; TANG, Danhang ; KOWDLE, Adarsh Prakash Murthy ; KESKIN, Cem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2018350105A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>TAYLOR, Jonathan James</creatorcontrib><creatorcontrib>IZADI, Shahram</creatorcontrib><creatorcontrib>TANKOVICH, Vladimir</creatorcontrib><creatorcontrib>DAVIDSON, Philip L</creatorcontrib><creatorcontrib>KIM, David</creatorcontrib><creatorcontrib>TANG, Danhang</creatorcontrib><creatorcontrib>KOWDLE, Adarsh Prakash Murthy</creatorcontrib><creatorcontrib>KESKIN, Cem</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TAYLOR, Jonathan James</au><au>IZADI, Shahram</au><au>TANKOVICH, Vladimir</au><au>DAVIDSON, Philip L</au><au>KIM, David</au><au>TANG, Danhang</au><au>KOWDLE, Adarsh Prakash Murthy</au><au>KESKIN, Cem</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>HAND TRACKING BASED ON ARTICULATED DISTANCE FIELD</title><date>2018-12-06</date><risdate>2018</risdate><abstract>An electronic device estimates a pose of a hand by volumetrically deforming a signed distance field using a skinned tetrahedral mesh to locate a local minimum of an energy function, wherein the local minimum corresponds to the hand pose. The electronic device identifies a pose of the hand by fitting an implicit surface model of a hand to the pixels of a depth image that correspond to the hand. The electronic device uses a skinned tetrahedral mesh to warp space from a base pose to a deformed pose to define an articulated signed distance field from which the hand tracking module derives candidate poses of the hand. The electronic device then minimizes an energy function based on the distance of each corresponding pixel to identify the candidate pose that most closely approximates the pose of the hand.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | HAND TRACKING BASED ON ARTICULATED DISTANCE FIELD |
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