{"id":"https://openalex.org/W1971980693","doi":"https://doi.org/10.1145/1111411.1111419","title":"Animating blendshape faces by cross-mapping motion capture data","display_name":"Animating blendshape faces by cross-mapping motion capture data","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1971980693","doi":"https://doi.org/10.1145/1111411.1111419","mag":"1971980693"},"language":"en","primary_location":{"id":"doi:10.1145/1111411.1111419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1111411.1111419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 symposium on Interactive 3D graphics and games - SI3D '06","raw_type":"proceedings-article"},"type":"conference-abstract","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107984555","display_name":"Zhigang Deng","orcid":"https://orcid.org/0000-0003-2571-5865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhigang Deng","raw_affiliation_strings":["USC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027644315","display_name":"Pei-Ying Chiang","orcid":"https://orcid.org/0000-0003-0261-2513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pei-Ying Chiang","raw_affiliation_strings":["USC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028383591","display_name":"Pamela Fox","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pamela Fox","raw_affiliation_strings":["USC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082235583","display_name":"Ulrich Neumann","orcid":"https://orcid.org/0000-0001-8977-7112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ulrich Neumann","raw_affiliation_strings":["USC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7980931997299194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7510125637054443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7226289510726929},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6869620084762573},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.611169159412384},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.5979387760162354},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5363233089447021},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.4546104967594147},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4312129616737366},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4203309714794159},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3696625828742981},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3222684860229492},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2947055399417877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26013755798339844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980931997299194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7510125637054443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7226289510726929},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6869620084762573},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.611169159412384},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.5979387760162354},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5363233089447021},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.4546104967594147},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4312129616737366},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4203309714794159},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3696625828742981},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3222684860229492},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2947055399417877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26013755798339844},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1111411.1111419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1111411.1111419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 symposium on Interactive 3D graphics and games - SI3D '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.108.6316","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.6316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.usc.edu/cgit/pdf/papers/i3d_anim.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.138.8451","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.8451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-scf.usc.edu/~peiyingc/i3d_anim_preprint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.75.677","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.cs.uh.edu/publication/pub/I3D_anim_preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W204548968","https://openalex.org/W1521793179","https://openalex.org/W1597405158","https://openalex.org/W1993962870","https://openalex.org/W1999681822","https://openalex.org/W2005901934","https://openalex.org/W2014281764","https://openalex.org/W2022890264","https://openalex.org/W2040345492","https://openalex.org/W2046911213","https://openalex.org/W2075316843","https://openalex.org/W2082229127","https://openalex.org/W2083382040","https://openalex.org/W2083389036","https://openalex.org/W2102416463","https://openalex.org/W2103682126","https://openalex.org/W2107699930","https://openalex.org/W2107813907","https://openalex.org/W2110484863","https://openalex.org/W2120654454","https://openalex.org/W2122007052","https://openalex.org/W2123090765","https://openalex.org/W2125644353","https://openalex.org/W2134571991","https://openalex.org/W2135666716","https://openalex.org/W2147885303","https://openalex.org/W2151458022","https://openalex.org/W2155129098","https://openalex.org/W2156428627","https://openalex.org/W2200132385","https://openalex.org/W2237250383","https://openalex.org/W2295661697","https://openalex.org/W2295663742","https://openalex.org/W2517190927","https://openalex.org/W2761994698","https://openalex.org/W3006295631"],"related_works":["https://openalex.org/W2018882065","https://openalex.org/W4210514273","https://openalex.org/W2740961807","https://openalex.org/W4211065946","https://openalex.org/W2401859309","https://openalex.org/W2379697716","https://openalex.org/W1544039745","https://openalex.org/W585325435","https://openalex.org/W4285097057","https://openalex.org/W3169129874"],"abstract_inverted_index":{"Animating":[0],"3D":[1,35,49,61],"faces":[2],"to":[3,29,33,45,60,88,115,133,148,156,173],"achieve":[4],"compelling":[5],"realism":[6],"is":[7,85,146,171],"a":[8,22,42,72,82,97],"challenging":[9],"task":[10],"in":[11,27,131],"the":[12,69,118,139,161],"entertainment":[13],"industry.":[14],"Previously":[15],"proposed":[16],"face":[17,26,51,63,70,121,176],"transfer":[18,30],"approaches":[19],"generally":[20],"require":[21],"high-quality":[23],"animated":[24,119],"source":[25],"order":[28,132],"its":[31,180],"motion":[32,56,78,99,153],"new":[34,151],"faces.":[36],"In":[37],"this":[38,169],"work,":[39],"we":[40,94],"present":[41],"semi-automatic":[43],"technique":[44,145,170],"directly":[46],"animate":[47,174],"popularized":[48],"blendshape":[50,62,113,120,157,175],"models":[52,122],"by":[53,77],"mapping":[54],"facial":[55,125,152],"capture":[57,79,100,154],"data":[58],"spaces":[59],"spaces.":[64],"After":[65],"sparse":[66],"markers":[67],"on":[68,160],"of":[71],"human":[73],"subject":[74],"are":[75],"captured":[76],"systems":[80],"while":[81,178],"video":[83,104],"camera":[84],"simultaneously":[86],"used":[87,147],"record":[89],"his/her":[90],"front":[91],"face,":[92],"then":[93],"carefully":[95],"select":[96],"few":[98],"frames":[101,105],"and":[102,182],"accompanying":[103],"as":[106],"reference":[107,124,128,135,162],"mocap-video":[108,129],"pairs.":[109,137,164],"Users":[110],"manually":[111],"tune":[112],"weights":[114,158],"perceptually":[116],"match":[117],"with":[123],"images":[126],"(the":[127],"pairs)":[130],"create":[134],"mocap-weight":[136,163],"Finally,":[138],"Radial":[140],"Basis":[141],"Function":[142],"(RBF)":[143],"regression":[144],"map":[149],"any":[150],"frame":[155],"based":[159],"Our":[165],"results":[166],"demonstrate":[167],"that":[168],"efficient":[172],"models,":[177],"offering":[179],"generality":[181],"flexiblity.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}