{"id":"https://openalex.org/W2167763069","doi":"https://doi.org/10.1109/icme.2011.6011850","title":"Building a semantic part-based object class detector from synthetic 3D models","display_name":"Building a semantic part-based object class detector from synthetic 3D models","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2167763069","doi":"https://doi.org/10.1109/icme.2011.6011850","mag":"2167763069"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2011.6011850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2011.6011850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/61064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048133829","display_name":"Johannes Schels","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Schels","raw_affiliation_strings":["EADS Innovation Works, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EADS Innovation Works, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108534166","display_name":"J\u00f6rg Liebelt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorg Liebelt","raw_affiliation_strings":["EADS Innovation Works, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EADS Innovation Works, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012635661","display_name":"Klaus Schertler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Klaus Schertler","raw_affiliation_strings":["EADS Innovation Works, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EADS Innovation Works, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009744749","display_name":"Rainer Lienhart","orcid":"https://orcid.org/0000-0003-4007-6889"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Lienhart","raw_affiliation_strings":["Multimedia Computing Laboratory, University of Augsburg, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Computing Laboratory, University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52352621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9988999962806702,"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/pascal","display_name":"Pascal (unit)","score":0.7945984601974487},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7628926038742065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7339908480644226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249969244003296},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5674874782562256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5491722226142883},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5431219339370728},{"id":"https://openalex.org/keywords/object-model","display_name":"Object model","score":0.5329918265342712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5308433771133423},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5210801362991333},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5146051645278931},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.48210978507995605},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.46824848651885986},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.46368709206581116},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43411874771118164},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.41145747900009155},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3593485653400421},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27965497970581055},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.07341259717941284}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7945984601974487},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7628926038742065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7339908480644226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249969244003296},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5674874782562256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5491722226142883},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5431219339370728},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.5329918265342712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5308433771133423},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5210801362991333},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5146051645278931},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.48210978507995605},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.46824848651885986},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.46368709206581116},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43411874771118164},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.41145747900009155},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3593485653400421},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27965497970581055},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.07341259717941284},{"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2011.6011850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2011.6011850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:61064","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-610641","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/61064","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:61064","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-610641","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/61064","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2167763069.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1500176645","https://openalex.org/W2030536784","https://openalex.org/W2045798786","https://openalex.org/W2089022734","https://openalex.org/W2093360101","https://openalex.org/W2111187045","https://openalex.org/W2113656553","https://openalex.org/W2120369594","https://openalex.org/W2120419212","https://openalex.org/W2122146039","https://openalex.org/W2123456673","https://openalex.org/W2125799637","https://openalex.org/W2131225894","https://openalex.org/W2131806657","https://openalex.org/W2161969291","https://openalex.org/W2186094539","https://openalex.org/W2535401692","https://openalex.org/W2546526894","https://openalex.org/W4213040296","https://openalex.org/W6629931691","https://openalex.org/W6686583229","https://openalex.org/W6729258895"],"related_works":["https://openalex.org/W1560709653","https://openalex.org/W2366871377","https://openalex.org/W2096042813","https://openalex.org/W2001787928","https://openalex.org/W2968205768","https://openalex.org/W2392583168","https://openalex.org/W2003928829","https://openalex.org/W1017149716","https://openalex.org/W3160205797","https://openalex.org/W2594382441"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,33,73],"new":[4],"approach":[5,30],"for":[6,27,134],"multi-view":[7],"object":[8,49,55,107,114],"class":[9],"detection":[10,146],"based":[11],"on":[12,57,128],"part":[13,62],"models.":[14,103,122],"While":[15],"most":[16],"existing":[17],"approaches":[18],"have":[19],"in":[20,108],"common":[21],"that":[22,77,139],"they":[23],"use":[24,52],"real":[25],"images":[26],"training,":[28],"our":[29,111],"requires":[31],"only":[32],"database":[34],"of":[35,47,69,82,87],"synthetic":[36],"3D":[37,58,102],"models":[38,59,63],"to":[39,60,80],"represent":[40],"both":[41],"the":[42,45,66,70,88,101,129],"appearance":[43,68,121],"and":[44,64,136],"geometry":[46],"an":[48,106,109],"class.":[50],"We":[51],"semantically":[53],"equivalent":[54],"points":[56],"build":[61],"encode":[65],"local":[67],"parts":[71,89],"by":[72,92],"discriminative":[74],"learning":[75],"method":[76],"applies":[78],"AdaBoost":[79],"histograms":[81],"gradients.":[83],"The":[84,123],"geometric":[85],"configuration":[86],"is":[90,126],"represented":[91],"spatial":[93],"distributions":[94],"which":[95,116],"are":[96,117],"also":[97],"directly":[98],"derived":[99],"from":[100],"For":[104],"recognizing":[105],"image,":[110],"model":[112],"provides":[113],"hypotheses":[115],"re-ranked":[118],"with":[119,144],"global":[120],"2D":[124],"localization":[125],"evaluated":[127],"PASCAL":[130],"2006":[131],"data":[132],"set":[133],"cars":[135],"bicycles,":[137],"showing":[138],"its":[140],"performance":[141],"can":[142],"compete":[143],"state-of-the-art":[145],"results.":[147]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}