{"id":"https://openalex.org/W2566619501","doi":"https://doi.org/10.1109/icip.2016.7532494","title":"Figaro, hair detection and segmentation in the wild","display_name":"Figaro, hair detection and segmentation in the wild","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2566619501","doi":"https://doi.org/10.1109/icip.2016.7532494","mag":"2566619501"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11379/483542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085958018","display_name":"Michele Svanera","orcid":"https://orcid.org/0000-0002-7828-9209"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michele Svanera","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065735823","display_name":"Umar Riaz Muhammad","orcid":null},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Umar Riaz Muhammad","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077643154","display_name":"Riccardo Leonardi","orcid":"https://orcid.org/0000-0003-0755-1924"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Leonardi","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004055341","display_name":"Sergio Benini","orcid":"https://orcid.org/0000-0003-2152-9424"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Benini","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085958018"],"corresponding_institution_ids":["https://openalex.org/I79940851"],"apc_list":null,"apc_paid":null,"fwci":1.1826,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.8600722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"933","last_page":"937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.961899995803833,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.961899995803833,"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/T11448","display_name":"Face recognition and analysis","score":0.9476000070571899,"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/T11595","display_name":"Textile materials and evaluations","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7840983867645264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7208916544914246},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7138266563415527},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6723955869674683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6559410095214844},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5351707935333252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.527934730052948},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.474687784910202},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4551912844181061},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43344414234161377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2646735906600952}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7840983867645264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208916544914246},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7138266563415527},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6723955869674683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6559410095214844},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5351707935333252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.527934730052948},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.474687784910202},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4551912844181061},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43344414234161377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2646735906600952}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2016.7532494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:208868","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},{"id":"pmh:oai:iris.unibs.it:11379/483542","is_oa":true,"landing_page_url":"http://hdl.handle.net/11379/483542","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unibs.it:11379/483542","is_oa":true,"landing_page_url":"http://hdl.handle.net/11379/483542","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W656999414","https://openalex.org/W1545641654","https://openalex.org/W1591385104","https://openalex.org/W1661793846","https://openalex.org/W1995969014","https://openalex.org/W1999478155","https://openalex.org/W2006516328","https://openalex.org/W2007512851","https://openalex.org/W2025306521","https://openalex.org/W2047643928","https://openalex.org/W2055302526","https://openalex.org/W2063566441","https://openalex.org/W2108966421","https://openalex.org/W2131081720","https://openalex.org/W2132050322","https://openalex.org/W2137525904","https://openalex.org/W2148414151","https://openalex.org/W2152548630","https://openalex.org/W2159246913","https://openalex.org/W2161969291","https://openalex.org/W2294640577","https://openalex.org/W2539528817","https://openalex.org/W2911964244","https://openalex.org/W2994340921","https://openalex.org/W4237267506","https://openalex.org/W4399226809"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W1986586280","https://openalex.org/W2337415362","https://openalex.org/W2008656436","https://openalex.org/W1892011953","https://openalex.org/W2134924024","https://openalex.org/W121273120","https://openalex.org/W2100291266"],"abstract_inverted_index":{"Hair":[0],"is":[1,124],"one":[2],"of":[3,55,88],"the":[4,47,53],"elements":[5],"that":[6],"mostly":[7],"characterize":[8],"people":[9],"appearance.":[10],"Being":[11],"able":[12],"to":[13,64,126],"detect":[14],"hair":[15,44,56,81],"in":[16,21,46,98],"images":[17],"can":[18],"be":[19],"useful":[20],"many":[22],"applications,":[23],"such":[24],"as":[25],"face":[26],"recognition,":[27],"gender":[28],"classification,":[29],"and":[30,67,91],"video":[31],"surveillance.":[32],"To":[33],"this":[34],"purpose":[35],"we":[36,75,104],"propose":[37],"a":[38,99,115],"novel":[39],"multi-class":[40],"image":[41,78],"database":[42],"for":[43],"detection":[45,57],"wild,":[48],"called":[49],"Figaro.":[50],"We":[51],"tackle":[52],"problem":[54],"without":[58],"relying":[59,85],"on":[60,86,128],"a-priori":[61],"information":[62],"related":[63],"head":[65],"shape":[66],"location.":[68],"Without":[69],"using":[70],"any":[71],"human-body":[72],"part":[73],"classifier,":[74],"first":[76],"classify":[77],"patches":[79,113],"into":[80],"vs.":[82],"non-hair":[83],"by":[84,110,114],"Histogram":[87],"Gradients":[89],"(HOG)":[90],"Linear":[92],"Ternary":[93],"Pattern":[94],"(LTP)":[95],"texture":[96],"features":[97],"random":[100],"forest":[101],"scheme.":[102],"Then":[103],"obtain":[105],"results":[106],"at":[107],"pixel":[108],"level":[109],"refining":[111],"classified":[112],"graph-based":[116],"multiple":[117],"segmentation":[118,121],"method.":[119],"Achieved":[120],"accuracy":[122],"(85%)":[123],"comparable":[125],"state-of-the-art":[127],"less":[129],"challenging":[130],"databases.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}