{"id":"https://openalex.org/W2116845172","doi":"https://doi.org/10.1109/cvpr.2009.5206798","title":"Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition","display_name":"Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2116845172","doi":"https://doi.org/10.1109/cvpr.2009.5206798","mag":"2116845172"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/25922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031618209","display_name":"Sanqiang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sanqiang Zhao","raw_affiliation_strings":["School of Engineering, Griffith University, Brisbane, QLD, Australia","School of Engineering Griffith University, Brisbane, Qld., Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Engineering Griffith University, Brisbane, Qld., Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["School of Engineering, Griffith University, Brisbane, QLD, Australia","School of Engineering Griffith University, Brisbane, Qld., Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Engineering Griffith University, Brisbane, Qld., Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031618209"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.3732,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.673848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"1629","last_page":"1634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","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/T10828","display_name":"Biometric Identification and Security","score":0.9973000288009644,"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/face","display_name":"Face (sociological concept)","score":0.6734062433242798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265209913253784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6265156269073486},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6068099737167358},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5913400053977966},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5813429951667786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5102188587188721},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4966614842414856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4955669641494751},{"id":"https://openalex.org/keywords/hausdorff-space","display_name":"Hausdorff space","score":0.46212977170944214},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.44201403856277466},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4379739761352539},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43057894706726074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2832070589065552},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05914640426635742}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6734062433242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265209913253784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265156269073486},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6068099737167358},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5913400053977966},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5813429951667786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5102188587188721},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4966614842414856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4955669641494751},{"id":"https://openalex.org/C191399826","wikidata":"https://www.wikidata.org/wiki/Q326908","display_name":"Hausdorff space","level":2,"score":0.46212977170944214},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.44201403856277466},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4379739761352539},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43057894706726074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2832070589065552},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05914640426635742},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/25922","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/25922","pdf_url":"http://hdl.handle.net/10072/25922","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/25922","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/25922","pdf_url":"http://hdl.handle.net/10072/25922","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5799999833106995,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2311147006","display_name":null,"funder_award_id":"DP0877929","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3880213745","display_name":"Face recognition under varying pose and lighting--towards automatic personal identification for surveillance systems","funder_award_id":"DP0451091","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2116845172.pdf","grobid_xml":"https://content.openalex.org/works/W2116845172.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1494268053","https://openalex.org/W1505641881","https://openalex.org/W1591385104","https://openalex.org/W1988681758","https://openalex.org/W1989702938","https://openalex.org/W2013762792","https://openalex.org/W2014440151","https://openalex.org/W2033419168","https://openalex.org/W2044270390","https://openalex.org/W2095364258","https://openalex.org/W2095757522","https://openalex.org/W2095999100","https://openalex.org/W2101055828","https://openalex.org/W2107105977","https://openalex.org/W2107369107","https://openalex.org/W2118774738","https://openalex.org/W2120954940","https://openalex.org/W2129026722","https://openalex.org/W2136584940","https://openalex.org/W2138451337","https://openalex.org/W2147575376","https://openalex.org/W2148486638","https://openalex.org/W2148486884","https://openalex.org/W2160126058","https://openalex.org/W2160754664","https://openalex.org/W2161979975","https://openalex.org/W2163808566","https://openalex.org/W2180187800","https://openalex.org/W2362808110","https://openalex.org/W2994340921","https://openalex.org/W3148076546"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W2886349793","https://openalex.org/W1144450175","https://openalex.org/W1991371429","https://openalex.org/W2901919115"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"two":[3],"critical":[4],"but":[5],"rarely":[6],"concerned":[7],"issues":[8],"in":[9],"2D":[10],"face":[11,51,81,101],"recognition:":[12],"wider-range":[13],"tolerance":[14,94],"to":[15,43],"pose":[16],"variation":[17],"and":[18,36,79,100],"misalignment.":[19,102],"We":[20],"propose":[21],"a":[22,30,44,54,89],"new":[23],"Textural":[24],"Hausdorff":[25],"Distance":[26],"(THD),":[27],"which":[28],"is":[29,41],"compound":[31],"measurement":[32],"integrating":[33],"both":[34,96],"spatial":[35],"textural":[37],"features.":[38],"The":[39,71],"THD":[40],"applied":[42],"Significant":[45],"Jet":[46],"Point":[47],"(SJP)":[48],"representation":[49],"of":[50,57,93],"images,":[52],"where":[53],"varied":[55],"number":[56],"shape-driven":[58],"SJPs":[59],"are":[60],"detected":[61],"automatically":[62],"from":[63],"low-level":[64],"edge":[65],"map":[66],"with":[67],"rich":[68],"information":[69],"content.":[70],"comparative":[72],"experiments":[73],"conducted":[74],"on":[75],"publicly":[76],"available":[77],"FERET":[78],"AR":[80],"databases":[82],"demonstrated":[83],"that":[84],"the":[85],"proposed":[86],"approach":[87],"has":[88],"considerably":[90],"wider":[91],"range":[92],"against":[95],"in-depth":[97],"head":[98],"rotation":[99]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
