{"id":"https://openalex.org/W2118898923","doi":"https://doi.org/10.1109/icsmc.2003.1244607","title":"Investigating profile extracted from range data for 3D face recognition","display_name":"Investigating profile extracted from range data for 3D face recognition","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2118898923","doi":"https://doi.org/10.1109/icsmc.2003.1244607","mag":"2118898923"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1244607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084291326","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0002-4049-6181"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Pan","raw_affiliation_strings":["Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067942678","display_name":"Yijun Wu","orcid":"https://orcid.org/0000-0001-5423-8936"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Wu","raw_affiliation_strings":["Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113687447","display_name":"Zhaohui Wu","orcid":"https://orcid.org/0009-0007-2734-7652"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Wu","raw_affiliation_strings":["Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.742311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1396","last_page":"1399 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9918000102043152,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9918000102043152,"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":0.991599977016449,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9901999831199646,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7563116550445557},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7394506931304932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905902624130249},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6669068336486816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.643359899520874},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6354451775550842},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5260876417160034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.517171323299408},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49754098057746887},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.41657203435897827},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2985946238040924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0873536765575409}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7563116550445557},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7394506931304932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905902624130249},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6669068336486816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.643359899520874},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6354451775550842},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5260876417160034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.517171323299408},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49754098057746887},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.41657203435897827},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2985946238040924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0873536765575409},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1244607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1768983434","https://openalex.org/W2007919809","https://openalex.org/W2049981393","https://openalex.org/W2051366222","https://openalex.org/W2062354294","https://openalex.org/W2087264103","https://openalex.org/W2096990600","https://openalex.org/W2111710644","https://openalex.org/W2135381585","https://openalex.org/W2157350782","https://openalex.org/W2160754664","https://openalex.org/W2247810280","https://openalex.org/W3146657167","https://openalex.org/W6652118181","https://openalex.org/W6674666732","https://openalex.org/W6676813459"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W1517271056","https://openalex.org/W63491089","https://openalex.org/W2058325696"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,85],"investigate":[4],"the":[5,82,88,99],"discriminative":[6],"capability":[7],"of":[8,49,68,71,102],"facial":[9],"profile":[10,28,32,89],"extracted":[11],"from":[12],"range":[13,69],"data":[14,70],"for":[15,27],"3D":[16,95],"face":[17,96],"recognition.":[18],"A":[19,30],"robust":[20],"symmetry":[21],"plane":[22],"detection":[23,48],"method":[24],"is":[25,40,53,90,104],"proposed":[26],"extracting.":[29],"global":[31],"matching":[33],"approach":[34],"based":[35],"on":[36,61,81],"k-th":[37],"Hausdorff":[38],"metric":[39],"presented":[41],"to":[42],"align":[43],"and":[44,98],"compare":[45],"profiles,":[46],"without":[47],"fiducial":[50],"points":[51],"that":[52,87],"often":[54],"unreliable.":[55],"The":[56],"experiment":[57],"are":[58],"carried":[59],"out":[60],"a":[62,76],"low-quality":[63],"database":[64],"with":[65],"180":[66],"pieces":[67],"30":[72],"individuals":[73],"acquired":[74],"by":[75],"structured":[77],"light":[78],"system.":[79],"Based":[80],"experimental":[83],"results,":[84],"observe":[86],"quite":[91],"valuable":[92],"information":[93],"in":[94],"recognition,":[97],"best":[100],"EER":[101],"2.22%":[103],"achieved.":[105]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
