{"id":"https://openalex.org/W2098764746","doi":"https://doi.org/10.1109/icassp.2012.6288060","title":"Content-based vehicle retrieval using 3D model and part information","display_name":"Content-based vehicle retrieval using 3D model and part information","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2098764746","doi":"https://doi.org/10.1109/icassp.2012.6288060","mag":"2098764746"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5043222239","display_name":"Ming-Kuang Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Kuang Tsai","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan","National Taiwan University Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078602610","display_name":"Yen-Liang Lin","orcid":"https://orcid.org/0000-0002-5294-077X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Liang Lin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan","National Taiwan University Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043898632","display_name":"Winston H. Hsu","orcid":"https://orcid.org/0000-0002-3330-0638"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Winston Hsu","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan","National Taiwan University Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631773","display_name":"Chih\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-9309-5824"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Chen","raw_affiliation_strings":["Industrial Technology and Research Institute, Hsinchu, Taiwan","Industrial Technology Research Institute, Hsin-Chu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Technology and Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Industrial Technology Research Institute, Hsin-Chu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]}],"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":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1025","last_page":"1028"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9959999918937683,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944000244140625,"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-science","display_name":"Computer science","score":0.7877885103225708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163557767868042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5442597270011902},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5098680257797241},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4846854507923126},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.45325523614883423},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4325530230998993},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4300384223461151},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4176782965660095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.404167503118515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37881967425346375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37730270624160767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877885103225708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163557767868042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5442597270011902},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5098680257797241},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4846854507923126},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.45325523614883423},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4325530230998993},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4300384223461151},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4176782965660095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.404167503118515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37881967425346375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37730270624160767},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.1109/icassp.2012.6288060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":16,"referenced_works":["https://openalex.org/W1573751879","https://openalex.org/W1599238028","https://openalex.org/W1984690031","https://openalex.org/W2033894760","https://openalex.org/W2046660943","https://openalex.org/W2102497689","https://openalex.org/W2106475694","https://openalex.org/W2111187045","https://openalex.org/W2122498516","https://openalex.org/W2134236847","https://openalex.org/W2135994945","https://openalex.org/W2164536058","https://openalex.org/W2165741220","https://openalex.org/W2535401692","https://openalex.org/W6634407852","https://openalex.org/W6635793669"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2049930962"],"abstract_inverted_index":{"Content-based":[0],"vehicle":[1,25,70,102,135,169,177],"retrieval":[2,26,103,136],"in":[3,10,18,34],"unconstrained":[4],"environment":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"surveillance":[11],"system.":[12],"However,":[13],"due":[14],"to":[15,72],"large":[16],"variations":[17],"viewing":[19],"angle/position,":[20],"illumination,":[21],"and":[22,49,61,91,125],"background,":[23],"traditional":[24],"is":[27,105],"extremely":[28],"challenging.":[29],"We":[30,107,129,149],"approach":[31,112],"this":[32],"problem":[33],"a":[35,73,109,143,167],"different":[36,86],"way":[37],"by":[38,172],"rectifying":[39],"vehicles":[40,52],"from":[41,155],"disparate":[42],"views":[43],"into":[44],"the":[45,51,82,94,100,119,156],"same":[46],"reference":[47],"view":[48],"searching":[50],"based":[53],"on":[54,99,140],"informative":[55,159],"parts":[56,161],"such":[57],"as":[58],"grille,":[59,163],"lamp,":[60,164],"wheel.":[62],"To":[63],"extract":[64],"those":[65],"parts,":[66],"we":[67,84,147],"fit":[68],"3D":[69,87],"models":[71],"2D":[74],"image":[75,170],"using":[76],"active":[77],"shape":[78],"model":[79,88,110],"(ASM).":[80],"In":[81],"experiments,":[83],"compare":[85],"fitting":[89,111],"approaches":[90],"verify":[92],"that":[93,151],"impact":[95],"of":[96,122,134,158],"part":[97,123],"rectification":[98],"content-based":[101,176],"performance":[104],"significant.":[106],"propose":[108],"with":[113,137],"weighted":[114],"jacobian":[115],"system":[116],"which":[117],"leverages":[118],"prior":[120],"knowledge":[121],"information":[124],"shows":[126],"better":[127],"results.":[128],"compute":[130],"mean":[131],"average":[132],"precision":[133],"L1":[138],"distance":[139],"NetCarShow300":[141],"dataset,":[142],"new":[144],"challenging":[145],"dataset":[146],"construct.":[148],"conclude":[150],"it":[152],"benefits":[153],"more":[154],"fusion":[157],"rectified":[160],"(e.g.,":[162],"wheel)":[165],"than":[166],"whole":[168],"described":[171],"SIFT":[173],"feature":[174],"for":[175],"retrieval.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
