{"id":"https://openalex.org/W2082224512","doi":"https://doi.org/10.1145/2670473.2670484","title":"Interactive optimization of near-isometric shape correspondence","display_name":"Interactive optimization of near-isometric shape correspondence","publication_year":2014,"publication_date":"2014-11-30","ids":{"openalex":"https://openalex.org/W2082224512","doi":"https://doi.org/10.1145/2670473.2670484","mag":"2082224512"},"language":"en","primary_location":{"id":"doi:10.1145/2670473.2670484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2670473.2670484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003800748","display_name":"Zizhao Wu","orcid":"https://orcid.org/0000-0003-2103-5037"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Wu","raw_affiliation_strings":["Hangzhou Dianzi University","HangZhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"HangZhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363544","display_name":"Long Zhang","orcid":"https://orcid.org/0000-0002-8935-1311"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhang","raw_affiliation_strings":["Hangzhou Dianzi University","HangZhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"HangZhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023293257","display_name":"Zixu Yan","orcid":"https://orcid.org/0000-0002-2459-8989"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixu Yan","raw_affiliation_strings":["Zhejiang University","Zhejiang, University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang, University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101694869","display_name":"Lu Fang","orcid":"https://orcid.org/0000-0001-6268-6173"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Lu","raw_affiliation_strings":["Zhejiang University","Zhejiang, University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang, University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110713522","display_name":"Yigang Wang","orcid":"https://orcid.org/0000-0003-3202-5934"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigang Wang","raw_affiliation_strings":["Hangzhou Dianzi University","HangZhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"HangZhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.6826363205909729},{"id":"https://openalex.org/keywords/isometric-exercise","display_name":"Isometric exercise","score":0.6763544082641602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600996255874634},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6177425980567932},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6069708466529846},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5778447985649109},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.56702721118927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.436578631401062},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4212999939918518},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4054347276687622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3208213150501251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30106860399246216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12321427464485168}],"concepts":[{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.6826363205909729},{"id":"https://openalex.org/C103486182","wikidata":"https://www.wikidata.org/wiki/Q1216236","display_name":"Isometric exercise","level":2,"score":0.6763544082641602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600996255874634},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6177425980567932},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6069708466529846},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5778447985649109},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.56702721118927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436578631401062},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4212999939918518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4054347276687622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3208213150501251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30106860399246216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12321427464485168},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2670473.2670484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2670473.2670484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7273742984","display_name":"\u590d\u6742\u7a7a\u95f4\u7ed3\u6784\u7684\u8868\u610f\u5f0f\u7ed8\u5236\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61170150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1492971172","https://openalex.org/W1590776313","https://openalex.org/W1989191365","https://openalex.org/W2019115117","https://openalex.org/W2025883551","https://openalex.org/W2050204708","https://openalex.org/W2053913299","https://openalex.org/W2057018318","https://openalex.org/W2098578926","https://openalex.org/W2100187127","https://openalex.org/W2100657858","https://openalex.org/W2105106232","https://openalex.org/W2108718184","https://openalex.org/W2121225280","https://openalex.org/W2137733660","https://openalex.org/W2138910149","https://openalex.org/W2164424155","https://openalex.org/W2165939338","https://openalex.org/W2167551186","https://openalex.org/W2173758409"],"related_works":["https://openalex.org/W2340005245","https://openalex.org/W1547508840","https://openalex.org/W2052773812","https://openalex.org/W2428872210","https://openalex.org/W2181360123","https://openalex.org/W3029411384","https://openalex.org/W2136279810","https://openalex.org/W2264056257","https://openalex.org/W3179139799","https://openalex.org/W342473148"],"abstract_inverted_index":{"In":[0,49],"this":[1],"paper,":[2],"we":[3,88],"present":[4],"an":[5,75],"interactive":[6],"approach":[7],"for":[8,36],"near-isometric":[9],"shape":[10],"correspondence.":[11],"Our":[12],"key":[13],"motivation":[14],"is":[15,26,55,58,106],"that":[16,103],"the":[17,20,23,38,44,62,66,71,97],"intention":[18],"of":[19,46],"users":[21],"in":[22],"correspondence":[24,98],"problem":[25],"valuable,":[27],"which":[28,57],"helps":[29],"to":[30,61,79,95],"not":[31],"only":[32],"reduce":[33],"search":[34],"space":[35],"finding":[37],"matching":[39,47],"pairs":[40],"but":[41],"also":[42],"increase":[43],"accuracy":[45],"results.":[48,113],"our":[50,104],"implementation,":[51],"a":[52,81,90],"cost":[53,72],"matrix":[54,73,78],"introduced,":[56],"updated":[59],"according":[60],"constraints":[63],"given":[64],"by":[65],"users.":[67],"We":[68],"then":[69],"combine":[70],"with":[74],"initial":[76],"similarity":[77],"form":[80],"joint":[82],"matrix,":[83],"and":[84,109],"based":[85],"on":[86],"which,":[87],"formulate":[89],"linear":[91],"assignment":[92],"objective":[93],"function":[94],"solve":[96],"problem.":[99],"The":[100],"experiments":[101],"show":[102],"method":[105],"fast,":[107],"intuitive":[108],"can":[110],"produce":[111],"pleasing":[112]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
