{"id":"https://openalex.org/W2120735681","doi":"https://doi.org/10.1109/iccv.2011.6126222","title":"Optimal object matching via convexification and composition","display_name":"Optimal object matching via convexification and composition","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2120735681","doi":"https://doi.org/10.1109/iccv.2011.6126222","mag":"2120735681"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5100732450","display_name":"Hongsheng Li","orcid":"https://orcid.org/0000-0002-2664-7975"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongsheng Li","raw_affiliation_strings":["Department of Computer Science & Engineering, Lehigh University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Lehigh University, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068865316","display_name":"Junzhou Huang","orcid":"https://orcid.org/0000-0002-9548-1227"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junzhou Huang","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Texas, Arlington, USA","[Department of Computer Science & Engineering, University of Texas at Arlington, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Texas, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"[Department of Computer Science & Engineering, University of Texas at Arlington, USA]","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, USA","Dept of Computer Science, Rutgers University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept of Computer Science, Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000467703","display_name":"Xiaolei Huang","orcid":"https://orcid.org/0000-0003-2338-6535"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaolei Huang","raw_affiliation_strings":["Department of Computer Science & Engineering, Lehigh University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Lehigh University, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100732450"],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":1.5695,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86324275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5623165965080261},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5517956614494324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480818152427673},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.4215930104255676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20974305272102356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18844106793403625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07438340783119202}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5623165965080261},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5517956614494324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480818152427673},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4215930104255676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20974305272102356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18844106793403625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07438340783119202},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.231.6033","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.6033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lehigh.edu/%7Ehol207/iccv11_li_matching.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1967929832","https://openalex.org/W2003296078","https://openalex.org/W2024548552","https://openalex.org/W2025883551","https://openalex.org/W2058507708","https://openalex.org/W2098894541","https://openalex.org/W2105996029","https://openalex.org/W2124087378","https://openalex.org/W2138910149","https://openalex.org/W2150760714","https://openalex.org/W2151103935","https://openalex.org/W2158256890","https://openalex.org/W2166820607","https://openalex.org/W2166835585","https://openalex.org/W2168002178","https://openalex.org/W6657258899","https://openalex.org/W6682759379"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,50,133],"novel":[6],"object":[7,13,25,107],"matching":[8,103,110],"method":[9,118,137],"to":[10,14,48,69,122,125,139],"match":[11],"an":[12,18],"its":[15],"instance":[16],"in":[17,128],"input":[19,29],"scene":[20,30],"image,":[21],"where":[22],"both":[23],"the":[24,28,129,149],"template":[26,42,95,120],"and":[27,60,85,98,151],"image":[31,130],"are":[32,67],"represented":[33],"by":[34],"groups":[35],"of":[36,153],"feature":[37,45,109,140],"points.":[38],"We":[39],"relax":[40],"each":[41,94],"point's":[43,96],"discrete":[44],"cost":[46],"function":[47,52],"create":[49,70],"convex":[51,61,72],"that":[53],"can":[54,91],"be":[55,123],"optimized":[56],"efficiently.":[57],"Such":[58,132],"continuous":[59],"functions":[62],"with":[63,112],"different":[64,71],"regularization":[65],"terms":[66],"able":[68],"optimization":[73],"models":[74,90],"handling":[75],"objects":[76],"undergoing":[77],"(i)":[78],"global":[79],"transformation,":[80,84],"(ii)":[81],"locally":[82],"affine":[83],"(iii)":[86],"articulated":[87],"transformation.":[88],"These":[89],"better":[92],"constrain":[93],"transformation":[97],"therefore":[99],"generate":[100],"more":[101],"robust":[102,138],"results.":[104],"Unlike":[105],"traditional":[106],"or":[108,143],"methods":[111],"\u201chard\u201d":[113],"node-to-node":[114],"results,":[115],"our":[116,136,154],"proposed":[117],"allows":[119],"points":[121],"transformed":[124],"any":[126],"location":[127],"plane.":[131],"property":[134],"makes":[135],"point":[141],"occlusion":[142],"mis-detection.":[144],"Our":[145],"extensive":[146],"experiments":[147],"demonstrate":[148],"robustness":[150],"flexibility":[152],"method.":[155]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}