{"id":"https://openalex.org/W2100864703","doi":"https://doi.org/10.1109/rose.2011.6058532","title":"A direct approach for face detection on omnidirectional images","display_name":"A direct approach for face detection on omnidirectional images","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2100864703","doi":"https://doi.org/10.1109/rose.2011.6058532","mag":"2100864703"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2011.6058532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5018852344","display_name":"Yohan Dupuis","orcid":"https://orcid.org/0000-0002-9725-2049"},"institutions":[{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan Dupuis","raw_affiliation_strings":["Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","institution_ids":["https://openalex.org/I4210114274"]},{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069505366","display_name":"Xavier Savatier","orcid":"https://orcid.org/0000-0003-2494-8595"},"institutions":[{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Savatier","raw_affiliation_strings":["Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","institution_ids":["https://openalex.org/I4210114274"]},{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110801201","display_name":"Jean-Yves Ertaud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Yves Ertaud","raw_affiliation_strings":["Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Laboratory, IRSEEM, Rouen, France","institution_ids":["https://openalex.org/I4210114274"]},{"raw_affiliation_string":"Instrumentation, Computer Science and Systems Lab, IRSEEM, ROUEN, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010705731","display_name":"Pascal Vasseur","orcid":"https://orcid.org/0000-0001-5145-9653"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pascal Vasseur","raw_affiliation_strings":["LITIS Lab, LITIS, Universit\u00e9 de Rouen-INSA de Rouen, Rouen, France","LITIS Lab, LITIS, Universit\u00e9 de Rouen - INSA de Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS Lab, LITIS, Universit\u00e9 de Rouen-INSA de Rouen, Rouen, France","institution_ids":["https://openalex.org/I88814501","https://openalex.org/I62396329","https://openalex.org/I4210108118"]},{"raw_affiliation_string":"LITIS Lab, LITIS, Universit\u00e9 de Rouen - INSA de Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118","https://openalex.org/I88814501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2617,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.60009073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9977999925613403,"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":0.9926000237464905,"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/catadioptric-system","display_name":"Catadioptric system","score":0.9444085359573364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.788548469543457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7784833908081055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774631142616272},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7137730717658997},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6880137324333191},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6526875495910645},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.6305882930755615},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.6271110773086548},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6078290939331055},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.5417649149894714},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5102989673614502},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.41874170303344727},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35812175273895264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34068119525909424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08848080039024353}],"concepts":[{"id":"https://openalex.org/C153396827","wikidata":"https://www.wikidata.org/wiki/Q1142960","display_name":"Catadioptric system","level":3,"score":0.9444085359573364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.788548469543457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7784833908081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774631142616272},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7137730717658997},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6880137324333191},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6526875495910645},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.6305882930755615},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.6271110773086548},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6078290939331055},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.5417649149894714},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5102989673614502},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.41874170303344727},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35812175273895264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34068119525909424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08848080039024353},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose.2011.6058532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320666","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337753","display_name":"Interreg","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W72257971","https://openalex.org/W1509928947","https://openalex.org/W1514880188","https://openalex.org/W1554944419","https://openalex.org/W1557953328","https://openalex.org/W1588191538","https://openalex.org/W1662595476","https://openalex.org/W1970843755","https://openalex.org/W2011050660","https://openalex.org/W2107634464","https://openalex.org/W2137156139","https://openalex.org/W2144042618","https://openalex.org/W2145887344","https://openalex.org/W2153461700","https://openalex.org/W2158504721","https://openalex.org/W2169696215","https://openalex.org/W2171033594","https://openalex.org/W2217896605","https://openalex.org/W3097096317","https://openalex.org/W6630306207","https://openalex.org/W6637240949","https://openalex.org/W6680580109","https://openalex.org/W6683616368","https://openalex.org/W7000563550"],"related_works":["https://openalex.org/W2431444032","https://openalex.org/W3009637957","https://openalex.org/W4321608871","https://openalex.org/W4385451546","https://openalex.org/W1970925716","https://openalex.org/W2902556115","https://openalex.org/W2140954659","https://openalex.org/W3135341440","https://openalex.org/W2772514830","https://openalex.org/W2590553524"],"abstract_inverted_index":{"Catadioptric":[0],"sensors":[1],"offer":[2],"abilities":[3],"unexploited":[4],"so":[5],"far.":[6],"This":[7,19],"is":[8],"especially":[9],"true":[10],"for":[11],"face":[12,30,64],"detection,":[13],"and":[14,87],"more":[15],"generally,":[16],"object":[17],"detection.":[18],"paper":[20],"presents":[21],"our":[22,45,68,82],"results":[23],"of":[24,72],"a":[25,52],"direct":[26],"approach":[27,83],"to":[28,42,55],"tackle":[29],"detection":[31,65,95],"on":[32,47],"catadioptric":[33],"images.":[34,49],"Despite":[35],"no":[36],"geometrical":[37],"transformations,":[38],"we":[39],"are":[40],"able":[41],"successfully":[43],"apply":[44],"detector":[46],"distorted":[48],"We":[50],"expose":[51],"new":[53],"method":[54,69],"synthesize":[56],"large":[57],"omnidirectional":[58],"images":[59],"database.":[60],"Inspired":[61],"from":[62],"regular":[63],"training":[66],"schemes,":[67],"makes":[70],"use":[71],"newly":[73],"introduced":[74],"polygonal":[75],"Haar-like":[76],"features.":[77],"First":[78],"tests":[79],"demonstrated":[80],"that":[81],"gives":[84],"good":[85],"performance":[86],"at":[88],"the":[89,94],"same":[90],"time":[91],"speeds":[92],"up":[93],"process.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}