{"id":"https://openalex.org/W2608773583","doi":"https://doi.org/10.1109/icpr.2016.7900304","title":"A foveation technique applied to face de-identification","display_name":"A foveation technique applied to face de-identification","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608773583","doi":"https://doi.org/10.1109/icpr.2016.7900304","mag":"2608773583"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5011885734","display_name":"Victor Alonso-Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Victor Alonso-Perez","raw_affiliation_strings":["Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061728611","display_name":"Rogerio Enriqurez-Caldera","orcid":null},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Rogerio Enriqurez-Caldera","raw_affiliation_strings":["Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084917273","display_name":"Juan Manuel Ram\u00edrez-Cort\u00e9s","orcid":"https://orcid.org/0000-0002-8515-2489"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan M. Ramirez-Cortes","raw_affiliation_strings":["Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Optica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, C.P., M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044189592","display_name":"Luis Enrique Sucar","orcid":"https://orcid.org/0000-0002-3685-5567"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L. Enrique Sucar","raw_affiliation_strings":["Instituto Nacional de Astrofisica Optica y Electronica, Puebla, Puebla, MX"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrofisica Optica y Electronica, Puebla, Puebla, MX","institution_ids":["https://openalex.org/I39824353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011885734"],"corresponding_institution_ids":["https://openalex.org/I39824353"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20277913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"4268","last_page":"4273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7786953449249268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7682088613510132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.748188853263855},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7396986484527588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6663212180137634},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6014330983161926},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5966957211494446},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5753046870231628},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5399913787841797},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5096113681793213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5016038417816162},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.46488142013549805},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43677592277526855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2562146782875061},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06891858577728271}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7786953449249268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7682088613510132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748188853263855},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7396986484527588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6663212180137634},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6014330983161926},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5966957211494446},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5753046870231628},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5399913787841797},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5096113681793213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5016038417816162},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.46488142013549805},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43677592277526855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2562146782875061},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06891858577728271},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W126505207","https://openalex.org/W1528304839","https://openalex.org/W1541521713","https://openalex.org/W1578378315","https://openalex.org/W1592568446","https://openalex.org/W1844635714","https://openalex.org/W1852980076","https://openalex.org/W1969513994","https://openalex.org/W1973429320","https://openalex.org/W1997409447","https://openalex.org/W2003921219","https://openalex.org/W2014635264","https://openalex.org/W2030303761","https://openalex.org/W2033419168","https://openalex.org/W2079658264","https://openalex.org/W2093639932","https://openalex.org/W2096391334","https://openalex.org/W2103958416","https://openalex.org/W2106771816","https://openalex.org/W2110948418","https://openalex.org/W2116907524","https://openalex.org/W2127146043","https://openalex.org/W2128292157","https://openalex.org/W2137873698","https://openalex.org/W2140141608","https://openalex.org/W2145641445","https://openalex.org/W2146909259","https://openalex.org/W2169740160","https://openalex.org/W2535446614","https://openalex.org/W4251250758","https://openalex.org/W4254240585"],"related_works":["https://openalex.org/W4224216661","https://openalex.org/W2132360941","https://openalex.org/W3210347767","https://openalex.org/W2066014542","https://openalex.org/W67940504","https://openalex.org/W2024170198","https://openalex.org/W2152144666","https://openalex.org/W1819617256","https://openalex.org/W2596984206","https://openalex.org/W2388958958"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,63,70,80],"new":[4,89],"foveation-based":[5],"method":[6,49],"in":[7],"the":[8,16,38,47,83,88],"discrete":[9],"cosine":[10],"transform":[11],"(DCT)":[12],"domain":[13],"to":[14],"preserve":[15],"privacy":[17],"rights":[18],"of":[19,82],"subjects":[20],"through":[21],"face":[22,101],"de-identification":[23],"while":[24],"preserving":[25],"awareness":[26],"for":[27,43],"gender":[28,93],"and":[29,46,69,94],"facial":[30,95],"expression":[31,96],"classification":[32,97],"tasks.":[33],"A":[34],"comparative":[35],"analysis":[36],"between":[37],"commonly":[39],"used":[40],"ad-hoc":[41],"methods":[42],"image":[44],"obfuscation":[45,57],"proposed":[48],"is":[50,59],"performed.":[51],"The":[52],"awareness-privacy":[53],"tradeoff":[54],"at":[55,99],"different":[56],"levels":[58],"quantified":[60],"by":[61],"using":[62,79],"support":[64],"vector":[65],"machine":[66],"(SVM)":[67],"classifier":[68],"two-directional":[71],"two-dimensional":[72],"Principal":[73],"Component":[74],"Analysis":[75],"method.":[76],"Experimental":[77],"results":[78],"subset":[81],"FERET":[84],"database":[85],"show":[86],"that":[87],"technique":[90],"accomplishes":[91],"higher":[92],"rates":[98],"lower":[100],"recognition":[102],"rates.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}