{"id":"https://openalex.org/W2254563330","doi":"https://doi.org/10.1145/2856400.2856404","title":"Precision","display_name":"Precision","publication_year":2016,"publication_date":"2016-02-10","ids":{"openalex":"https://openalex.org/W2254563330","doi":"https://doi.org/10.1145/2856400.2856404","mag":"2254563330"},"language":"en","primary_location":{"id":"doi:10.1145/2856400.2856404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2856400.2856404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"},"type":"article","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/A5069589954","display_name":"Mubbasir Kapadia","orcid":"https://orcid.org/0000-0002-3501-0028"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mubbasir Kapadia","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063433061","display_name":"Xu Xianghao","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Xu Xianghao","raw_affiliation_strings":["ETH Zurich"],"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089987825","display_name":"Maurizio Nitti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maurizio Nitti","raw_affiliation_strings":["Disney Research"],"affiliations":[{"raw_affiliation_string":"Disney Research","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070306914","display_name":"Marcelo Kallmann","orcid":"https://orcid.org/0000-0001-5138-0603"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcelo Kallmann","raw_affiliation_strings":["UC Merced"],"affiliations":[{"raw_affiliation_string":"UC Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055713873","display_name":"Stelian Coros","orcid":"https://orcid.org/0000-0001-6604-4784"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stelian Coros","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047437165","display_name":"Robert W. Sumner","orcid":"https://orcid.org/0000-0002-1909-8082"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Robert W. Sumner","raw_affiliation_strings":["ETH Zurich and Disney Research"],"affiliations":[{"raw_affiliation_string":"ETH Zurich and Disney Research","institution_ids":["https://openalex.org/I4210142140","https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Markus Gross","raw_affiliation_strings":["ETH Zurich and Disney Research"],"affiliations":[{"raw_affiliation_string":"ETH Zurich and Disney Research","institution_ids":["https://openalex.org/I4210142140","https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069589954"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87548669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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/T11439","display_name":"Video Analysis and Summarization","score":0.996399998664856,"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":0.8395159244537354},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7334344983100891},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6715469360351562},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6546200513839722},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4976215660572052},{"id":"https://openalex.org/keywords/character-animation","display_name":"Character animation","score":0.48837679624557495},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.47725531458854675},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.45910218358039856},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.44156014919281006},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.425645112991333},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.42427897453308105},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.3833150565624237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3340085744857788},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2778536379337311},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14965450763702393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395159244537354},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7334344983100891},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6715469360351562},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6546200513839722},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4976215660572052},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.48837679624557495},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.47725531458854675},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.45910218358039856},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.44156014919281006},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.425645112991333},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.42427897453308105},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3833150565624237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3340085744857788},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2778536379337311},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14965450763702393},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2856400.2856404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2856400.2856404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1494662170","https://openalex.org/W1495153005","https://openalex.org/W1535402384","https://openalex.org/W1966966683","https://openalex.org/W1969483458","https://openalex.org/W1985473518","https://openalex.org/W1990932462","https://openalex.org/W2002543764","https://openalex.org/W2005273938","https://openalex.org/W2007943216","https://openalex.org/W2019953692","https://openalex.org/W2025915818","https://openalex.org/W2027247754","https://openalex.org/W2042093148","https://openalex.org/W2042408133","https://openalex.org/W2045459928","https://openalex.org/W2050059500","https://openalex.org/W2053710578","https://openalex.org/W2059486229","https://openalex.org/W2072162217","https://openalex.org/W2076806230","https://openalex.org/W2080256045","https://openalex.org/W2083334152","https://openalex.org/W2095442747","https://openalex.org/W2096650505","https://openalex.org/W2097197636","https://openalex.org/W2115136127","https://openalex.org/W2128927610","https://openalex.org/W2144231991","https://openalex.org/W2145429668","https://openalex.org/W2145585184","https://openalex.org/W2160741803","https://openalex.org/W2206690334","https://openalex.org/W2208132734","https://openalex.org/W2243558602","https://openalex.org/W2249800031","https://openalex.org/W2294126987","https://openalex.org/W2336236730","https://openalex.org/W2545385919","https://openalex.org/W3030264759","https://openalex.org/W3137454621","https://openalex.org/W4205471895","https://openalex.org/W4233266252"],"related_works":["https://openalex.org/W2964256366","https://openalex.org/W3094080214","https://openalex.org/W4246568043","https://openalex.org/W4244435162","https://openalex.org/W2221113372","https://openalex.org/W2159681853","https://openalex.org/W2354629388","https://openalex.org/W2122474456","https://openalex.org/W51355345","https://openalex.org/W2052682882"],"abstract_inverted_index":{"The":[0,153,178],"widespread":[1],"availability":[2],"of":[3,11,25,115,127,141,175,181],"high-quality":[4],"motion":[5,41,62,73,113,155,173],"capture":[6],"data":[7],"and":[8,34,53,85,118,164,195,212,221],"the":[9,19,22,35,65,91,106,111,123,142,144,151,172,226,229],"maturity":[10],"solutions":[12],"to":[13,48,59,70,89,102,169],"animate":[14],"virtual":[15,27,176,219],"characters":[16,33,201,222],"has":[17],"paved":[18],"way":[20],"for":[21,81,148,209],"next":[23],"generation":[24],"interactive":[26],"worlds":[28,220],"exhibiting":[29],"intricate":[30],"interactions":[31],"between":[32],"environments":[36,52,86,194],"they":[37],"inhabit.":[38],"However,":[39],"current":[40],"synthesis":[42],"techniques":[43],"have":[44],"not":[45],"been":[46],"designed":[47],"scale":[49],"with":[50,134],"complex":[51],"contact-rich":[54,112],"motions,":[55],"requiring":[56],"environment":[57,66,97,124,143,230],"designers":[58,189],"manually":[60],"embed":[61],"semantics":[63,136,156],"in":[64,68,87,94,122,167,228,231],"geometry":[67],"order":[69,88,168],"address":[71],"online":[72],"synthesis.":[74],"This":[75],"paper":[76],"presents":[77],"an":[78,96],"automated":[79],"approach":[80,183],"analyzing":[82],"both":[83],"motions":[84,129],"represent":[90],"different":[92],"ways":[93],"which":[95,139,205],"can":[98,157,190,206,216],"afford":[99],"a":[100,116],"character":[101,117,145],"move.":[103],"We":[104],"extract":[105],"salient":[107],"features":[108],"that":[109,137],"characterize":[110],"repertoire":[114],"detect":[119],"valid":[120],"transitions":[121],"where":[125],"each":[126],"these":[128],"may":[130,146,202],"be":[131,158,207],"possible,":[132],"along":[133],"additional":[135,186],"inform":[138],"surfaces":[140],"use":[147],"support":[149],"during":[150],"motion.":[152],"precomputed":[154],"easily":[159],"integrated":[160],"into":[161],"standard":[162],"navigation":[163],"animation":[165],"pipelines":[166],"greatly":[170],"enhance":[171],"capabilities":[174],"characters.":[177],"computational":[179],"efficiency":[180],"our":[182],"enables":[184],"two":[185],"applications.":[187],"Environment":[188],"interactively":[191],"design":[192],"new":[193],"get":[196],"instant":[197],"feedback":[198],"on":[199],"how":[200],"potentially":[203],"interact,":[204],"used":[208],"iterative":[210],"modeling":[211],"refinement.":[213],"End":[214],"users":[215],"dynamically":[217],"edit":[218],"will":[223],"automatically":[224],"accommodate":[225],"changes":[227],"their":[232],"movement":[233],"strategies.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}