{"id":"https://openalex.org/W2124123435","doi":"https://doi.org/10.1145/2366145.2366186","title":"An optimization approach for extracting and encoding consistent maps in a shape collection","display_name":"An optimization approach for extracting and encoding consistent maps in a shape collection","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2124123435","doi":"https://doi.org/10.1145/2366145.2366186","mag":"2124123435"},"language":"en","primary_location":{"id":"doi:10.1145/2366145.2366186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2366145.2366186","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5056540212","display_name":"Qixing Huang","orcid":"https://orcid.org/0000-0001-6365-8051"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi-Xing Huang","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730842","display_name":"Guoxin Zhang","orcid":"https://orcid.org/0009-0005-5910-7069"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Xin Zhang","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629376","display_name":"Lin Gao","orcid":"https://orcid.org/0000-0002-1021-8148"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Gao","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037233582","display_name":"Shi\u2010Min Hu","orcid":"https://orcid.org/0000-0001-7507-6542"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Min Hu","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038005014","display_name":"Adrian Butscher","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrian Butscher","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065368881","display_name":"Leonidas Guibas","orcid":"https://orcid.org/0000-0002-8315-4886"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonidas Guibas","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.7176,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98494615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"31","issue":"6","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9997000098228455,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879000186920166,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5351565480232239},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5228148698806763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5058898329734802},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4730341136455536},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4608215391635895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4350408613681793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43082308769226074},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42517560720443726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.294688880443573}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5351565480232239},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5228148698806763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5058898329734802},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4730341136455536},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4608215391635895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4350408613681793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43082308769226074},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42517560720443726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.294688880443573},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2366145.2366186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2366145.2366186","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:45703","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/597542","is_oa":false,"landing_page_url":"http://repository.kaust.edu.sa/kaust/handle/10754/597542","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G391499277","display_name":null,"funder_award_id":"61120106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4368536054","display_name":null,"funder_award_id":"FODAVA 808515CCF 1011228","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4593146735","display_name":null,"funder_award_id":"2011CB30220","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G5549023515","display_name":null,"funder_award_id":"2012AA011802","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6965664241","display_name":null,"funder_award_id":"FODAVA 808515CCF 1011228","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"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"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W180168462","https://openalex.org/W1682524082","https://openalex.org/W1977257583","https://openalex.org/W1985222241","https://openalex.org/W1993898199","https://openalex.org/W2047161559","https://openalex.org/W2052728883","https://openalex.org/W2057101663","https://openalex.org/W2057427057","https://openalex.org/W2058017216","https://openalex.org/W2065745355","https://openalex.org/W2073431710","https://openalex.org/W2077678691","https://openalex.org/W2084810551","https://openalex.org/W2100549190","https://openalex.org/W2100657858","https://openalex.org/W2105106232","https://openalex.org/W2106210044","https://openalex.org/W2106723645","https://openalex.org/W2108681527","https://openalex.org/W2114915823","https://openalex.org/W2122007052","https://openalex.org/W2130517245","https://openalex.org/W2143668817","https://openalex.org/W2147254331","https://openalex.org/W2148300333","https://openalex.org/W2153487529","https://openalex.org/W2161960196","https://openalex.org/W2165308258","https://openalex.org/W2166987050","https://openalex.org/W2171490473","https://openalex.org/W2205290124","https://openalex.org/W3004739592","https://openalex.org/W3048946968","https://openalex.org/W3136891595","https://openalex.org/W3138558418","https://openalex.org/W4241422529","https://openalex.org/W4251944521"],"related_works":["https://openalex.org/W1485630101","https://openalex.org/W2498017833","https://openalex.org/W112744582","https://openalex.org/W2015043718","https://openalex.org/W2353865532","https://openalex.org/W3033750096","https://openalex.org/W2081245617","https://openalex.org/W1537221325","https://openalex.org/W3124419391","https://openalex.org/W2013728935"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,12,23,36,94,121,135,143,183],"novel":[3],"approach":[4,19,87,210],"for":[5],"computing":[6],"high":[7],"quality":[8],"point-to-point":[9],"maps":[10,29,47,54,98,119,193],"among":[11],"collection":[13,145],"of":[14,26,32,46,51,97,102,118,146,154],"related":[15],"shapes.":[16,52,161],"The":[17,85],"proposed":[18,86,209],"takes":[20],"as":[21],"input":[22],"sparse":[24],"set":[25,45,96],"imperfect":[27],"initial":[28,62,175],"between":[30,48,99],"pairs":[31,50,101],"shapes":[33,103,129,148,157],"and":[34,71,112,149],"builds":[35],"compact":[37,184],"data":[38,186],"structure":[39,187],"which":[40,189],"implicitly":[41],"encodes":[42],"an":[43],"improved":[44],"all":[49,100,159],"These":[53,162,177],"align":[55],"well":[56],"with":[57],"point":[58],"correspondences":[59,151,163,171],"selected":[60],"from":[61,152,188],"maps;":[63],"they":[64,72],"map":[65,77],"neighboring":[66,69],"points":[67],"to":[68,132,158,181],"points;":[70],"provide":[73],"cycle-consistency,":[74],"so":[75],"that":[76,93,104,207],"compositions":[78,117],"along":[79],"cycles":[80],"approximate":[81],"the":[82,91,208],"identity":[83],"map.":[84],"is":[88],"motivated":[89],"by":[90,116,166,173],"fact":[92],"complete":[95],"admits":[105],"nearly":[106],"perfect":[107],"cycle-consistency":[108],"are":[109,130,164,178],"highly":[110],"redundant":[111],"can":[113,194],"be":[114,195],"represented":[115],"through":[120],"single":[122],"base":[123,128,147,156],"shape.":[124],"In":[125],"general,":[126],"multiple":[127],"needed":[131],"adequately":[133],"cover":[134],"diverse":[136],"collection.":[137],"Our":[138],"algorithm":[139],"sequentially":[140],"extracts":[141],"such":[142],"small":[144],"creates":[150],"each":[153],"these":[155],"other":[160],"found":[165],"global":[167],"optimization":[168],"on":[169,203],"candidate":[170],"obtained":[172],"diffusing":[174],"maps.":[176],"then":[179],"used":[180],"create":[182],"graphical":[185],"globally":[190],"optimal":[191],"cycle-consistent":[192],"extracted":[196],"using":[197],"simple":[198],"graph":[199],"algorithms.":[200],"Experimental":[201],"results":[202,214],"benchmark":[204],"datasets":[205],"show":[206],"yields":[211],"significantly":[212],"better":[213],"than":[215],"state-of-the-art":[216],"data-driven":[217],"shape":[218],"matching":[219],"methods.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":8}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}