{"id":"https://openalex.org/W2509362858","doi":"https://doi.org/10.1109/tpami.2016.2603988","title":"An Efficient Globally Optimal Algorithm for Asymmetric Point Matching","display_name":"An Efficient Globally Optimal Algorithm for Asymmetric Point Matching","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2509362858","doi":"https://doi.org/10.1109/tpami.2016.2603988","mag":"2509362858","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113572"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2016.2603988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2603988","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100686312","display_name":"Wei Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I115067436","display_name":"Changzhi University","ror":"https://ror.org/04svmxd14","country_code":"CN","type":"education","lineage":["https://openalex.org/I115067436"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Wei Lian","raw_affiliation_strings":["Department of Computer Science, Changzhi University, Changzhi, Shanxi, China","Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Changzhi University, Changzhi, Shanxi, China","institution_ids":["https://openalex.org/I115067436"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"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":["HK","US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong","School of Engineering, University of California, Merced, CA"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Engineering, University of California, Merced, CA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100686312"],"corresponding_institution_ids":["https://openalex.org/I115067436","https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":11.4467,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98027392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"39","issue":"7","first_page":"1281","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9926999807357788,"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/algorithm","display_name":"Algorithm","score":0.6216140389442444},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5684637427330017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5362837314605713},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5265857577323914},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.47078198194503784},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4638606905937195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4499701261520386},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4475803077220917},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43919622898101807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4365725517272949},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4208647906780243},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41156211495399475},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.23159673810005188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.187168687582016}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6216140389442444},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5684637427330017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5362837314605713},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5265857577323914},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.47078198194503784},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4638606905937195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4499701261520386},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4475803077220917},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43919622898101807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4365725517272949},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4208647906780243},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41156211495399475},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.23159673810005188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.187168687582016},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2016.2603988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2603988","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28113572","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113572","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/76264","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/76264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1891905335","display_name":null,"funder_award_id":"PolyU 5313/13E","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G4613586837","display_name":null,"funder_award_id":"1149783","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1524091609","https://openalex.org/W1573751879","https://openalex.org/W1576445103","https://openalex.org/W1826433370","https://openalex.org/W1938890191","https://openalex.org/W1963623641","https://openalex.org/W1977494291","https://openalex.org/W1996125834","https://openalex.org/W2001284597","https://openalex.org/W2005045327","https://openalex.org/W2012048508","https://openalex.org/W2019417606","https://openalex.org/W2025883551","https://openalex.org/W2031489346","https://openalex.org/W2046079078","https://openalex.org/W2049981393","https://openalex.org/W2051906608","https://openalex.org/W2053186076","https://openalex.org/W2057175746","https://openalex.org/W2079272365","https://openalex.org/W2096840836","https://openalex.org/W2097832352","https://openalex.org/W2105996029","https://openalex.org/W2107855892","https://openalex.org/W2115001439","https://openalex.org/W2116801532","https://openalex.org/W2118104180","https://openalex.org/W2118621948","https://openalex.org/W2121225280","https://openalex.org/W2124116628","https://openalex.org/W2124465992","https://openalex.org/W2128566668","https://openalex.org/W2133442958","https://openalex.org/W2134236847","https://openalex.org/W2135660601","https://openalex.org/W2137089267","https://openalex.org/W2139688603","https://openalex.org/W2139958836","https://openalex.org/W2147555557","https://openalex.org/W2154566680","https://openalex.org/W2155775869","https://openalex.org/W2171490473","https://openalex.org/W4212864101","https://openalex.org/W6634343353","https://openalex.org/W6634407852","https://openalex.org/W6640335112","https://openalex.org/W6674588979","https://openalex.org/W6676075050","https://openalex.org/W6679909495"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W4291718021"],"abstract_inverted_index":{"Although":[0],"the":[1,20,35,49,67,73,87,93,106,117,135,146,150,153,185,191],"robust":[2,68],"point":[3,54,69,78],"matching":[4,42,70,95,200],"algorithm":[5,65,132,187],"has":[6,79,109,167],"been":[7],"demonstrated":[8],"to":[9,47,99,133,144,198],"be":[10,174],"effective":[11],"for":[12,40,66],"non-rigid":[13],"registration,":[14],"there":[15],"are":[16,141],"several":[17],"issues":[18],"with":[19],"adopted":[21],"deterministic":[22],"annealing":[23],"optimization":[24,123],"technique.":[25],"First,":[26],"it":[27,45],"is":[28,38,97],"not":[29],"globally":[30,63],"optimal":[31,64,155],"and":[32,172,181,202],"regularization":[33],"on":[34,179],"spatial":[36],"transformation":[37,88],"needed":[39],"good":[41],"results.":[43],"Second,":[44],"tends":[46],"align":[48],"mass":[50],"centers":[51],"of":[52,119,148,196],"two":[53],"sets.":[55],"To":[56],"address":[57],"these":[58],"issues,":[59],"we":[60,90,159],"propose":[61,126],"a":[62,80,100,110,127,168],"problem":[71,96,104,137],"in":[72,82,194],"case":[74],"that":[75,92],"each":[76],"model":[77],"counterpart":[81],"scene":[83],"set.":[84],"By":[85],"eliminating":[86],"variables,":[89],"show":[91],"original":[94],"reduced":[98],"concave":[101],"quadratic":[102],"assignment":[103,170],"where":[105,138],"objective":[107],"function":[108],"low":[111],"rank":[112],"Hessian":[113],"matrix.":[114],"This":[115],"facilitates":[116],"use":[118],"large":[120],"scale":[121],"global":[122,154],"techniques.":[124],"We":[125],"modified":[128],"normal":[129],"rectangular":[130],"branch-and-bound":[131],"solve":[134],"resulting":[136],"multiple":[139],"rectangles":[140],"simultaneously":[142],"subdivided":[143],"increase":[145],"chance":[147],"shrinking":[149],"rectangle":[151],"containing":[152],"solution.":[156],"In":[157],"addition,":[158],"present":[160],"an":[161],"efficient":[162],"lower":[163],"bounding":[164],"scheme":[165],"which":[166],"linear":[169],"formulation":[171],"can":[173],"efficiently":[175],"solved.":[176],"Extensive":[177],"experiments":[178],"synthetic":[180],"real":[182],"datasets":[183],"demonstrate":[184],"proposed":[186],"performs":[188],"favorably":[189],"against":[190],"state-of-the-art":[192],"methods":[193],"terms":[195],"robustness":[197],"outliers,":[199],"accuracy,":[201],"run-time.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
