{"id":"https://openalex.org/W2105792932","doi":"https://doi.org/10.1109/cvprw.2009.5204071","title":"Vehicle matching and recognition under large variations of pose and illumination","display_name":"Vehicle matching and recognition under large variations of pose and illumination","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2105792932","doi":"https://doi.org/10.1109/cvprw.2009.5204071","mag":"2105792932"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204071","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5109007952","display_name":"Tingbo Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tingbo Hou","raw_affiliation_strings":["Computer Science Department, Stony Brook University, USA","Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350760","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0003-1537-8834"},"institutions":[{"id":"https://openalex.org/I4210094723","display_name":"Kodak (Japan)","ror":"https://ror.org/00tee0349","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210094723","https://openalex.org/I4210159451"]},{"id":"https://openalex.org/I4210159451","display_name":"Kodak (United States)","ror":"https://ror.org/04rn3ph18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210159451"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":["Kodak Research Laboratories, Eastman Kodak (Japan) Limited, USA","Kodak Res. Labs., Eastman Kodak Co., Rochester, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Kodak Research Laboratories, Eastman Kodak (Japan) Limited, USA","institution_ids":["https://openalex.org/I4210094723"]},{"raw_affiliation_string":"Kodak Res. Labs., Eastman Kodak Co., Rochester, NY, USA#TAB#","institution_ids":["https://openalex.org/I4210159451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Computer Science Department, Stony Brook University, USA","Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109007952"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":6.1949,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95698438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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-vision","display_name":"Computer vision","score":0.8482491970062256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8365112543106079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7376406788825989},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6975891590118408},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5947262048721313},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5563181042671204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5383296012878418},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5159100294113159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12361866235733032}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8482491970062256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8365112543106079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376406788825989},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6975891590118408},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5947262048721313},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5563181042671204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5383296012878418},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5159100294113159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12361866235733032},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204071","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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":20,"referenced_works":["https://openalex.org/W2021403777","https://openalex.org/W2049981393","https://openalex.org/W2100894530","https://openalex.org/W2103337693","https://openalex.org/W2103394762","https://openalex.org/W2104050961","https://openalex.org/W2105649179","https://openalex.org/W2112220396","https://openalex.org/W2123977795","https://openalex.org/W2141473805","https://openalex.org/W2154422044","https://openalex.org/W2156229827","https://openalex.org/W2159371141","https://openalex.org/W2164536058","https://openalex.org/W2165916500","https://openalex.org/W2247810280","https://openalex.org/W3151739637","https://openalex.org/W6655722020","https://openalex.org/W6675619970","https://openalex.org/W6684073049"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229","https://openalex.org/W2050706403","https://openalex.org/W1519745258","https://openalex.org/W2193676006","https://openalex.org/W1973922169"],"abstract_inverted_index":{"Matching":[0],"vehicles":[1,34,56,89,145],"subject":[2],"to":[3,61,87,139,146],"both":[4,36,48],"large":[5],"pose":[6,49,69],"transformations":[7],"and":[8,27,32,40,50,70,82,95,106,114,131],"extreme":[9],"illumination":[10,43,51,71,115],"variations":[11],"remains":[12],"a":[13,25,137],"technically":[14],"challenging":[15],"problem":[16],"in":[17,57,90,103,110],"computer":[18],"vision.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,53],"develop":[24],"new":[26],"robust":[28],"framework":[29,105],"toward":[30],"matching":[31],"recognizing":[33],"with":[35,66,136],"highly":[37],"varying":[38],"poses":[39],"drastically":[41],"changing":[42],"conditions.":[44],"By":[45],"effectively":[46],"estimating":[47],"conditions,":[52],"can":[54,117],"re-render":[55],"the":[58,63,67,74,79,83,91,129],"reference":[59,93],"image":[60,65,81,86,94],"generate":[62],"relit":[64,80],"same":[68],"conditions":[72,116],"as":[73],"target":[75,85,96],"image.":[76,97,125],"We":[77],"compare":[78],"re-rendered":[84,107],"match":[88],"original":[92],"Furthermore,":[98],"no":[99],"training":[100],"is":[101],"needed":[102],"our":[104,134,141],"vehicle":[108],"images":[109],"any":[111],"other":[112,148],"viewpoints":[113],"be":[118],"obtained":[119],"from":[120,144],"just":[121],"one":[122],"single":[123],"input":[124],"Experimental":[126],"results":[127],"demonstrate":[128],"robustness":[130],"efficacy":[132],"of":[133,150],"framework,":[135],"potential":[138],"generalize":[140],"current":[142],"method":[143],"handle":[147],"types":[149],"objects.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}