{"id":"https://openalex.org/W2171069198","doi":"https://doi.org/10.1109/cbmi.2008.4564955","title":"Analysis and retrieval of 3D facial models using iso-geodesic stripes","display_name":"Analysis and retrieval of 3D facial models using iso-geodesic stripes","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2171069198","doi":"https://doi.org/10.1109/cbmi.2008.4564955","mag":"2171069198"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2008.4564955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2008.4564955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Workshop on Content-Based Multimedia Indexing","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/A5013110565","display_name":"Stefano Berretti","orcid":"https://orcid.org/0000-0003-1219-4386"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Berretti","raw_affiliation_strings":["University of Firenze, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081506611","display_name":"Alberto Del Bimbo","orcid":"https://orcid.org/0000-0002-1052-8322"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Del Bimbo","raw_affiliation_strings":["University of Firenze, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031581349","display_name":"Pietro Pala","orcid":"https://orcid.org/0000-0001-5670-3774"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Pala","raw_affiliation_strings":["University of Firenze, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Firenze, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":0.3506,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68418647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9961000084877014,"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/geodesic","display_name":"Geodesic","score":0.8223334550857544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6735358834266663},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6660211086273193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6220564842224121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6174004673957825},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.564017117023468},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5541948080062866},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.549336314201355},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5209744572639465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5185704827308655},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5150187015533447},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.494881808757782},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42525744438171387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2765252888202667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2020411193370819},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16370663046836853},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09392669796943665}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.8223334550857544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735358834266663},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6660211086273193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6220564842224121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174004673957825},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.564017117023468},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5541948080062866},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.549336314201355},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5209744572639465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5185704827308655},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5150187015533447},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.494881808757782},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42525744438171387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2765252888202667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2020411193370819},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16370663046836853},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09392669796943665},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cbmi.2008.4564955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2008.4564955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Workshop on Content-Based Multimedia Indexing","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/331732","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/331732","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1490178885","https://openalex.org/W1942686178","https://openalex.org/W1970647017","https://openalex.org/W1977664993","https://openalex.org/W1989702938","https://openalex.org/W1999690352","https://openalex.org/W2017337590","https://openalex.org/W2044079911","https://openalex.org/W2044584741","https://openalex.org/W2081734071","https://openalex.org/W2092252438","https://openalex.org/W2098236528","https://openalex.org/W2107109443","https://openalex.org/W2116582891","https://openalex.org/W2137659841","https://openalex.org/W2137913010","https://openalex.org/W2140798815","https://openalex.org/W2146533878","https://openalex.org/W2153759571","https://openalex.org/W2156887092","https://openalex.org/W2160126058","https://openalex.org/W2161116336","https://openalex.org/W2161308290","https://openalex.org/W2166164984","https://openalex.org/W3005994334","https://openalex.org/W3015384695","https://openalex.org/W3146003712","https://openalex.org/W4285719527","https://openalex.org/W4298266977","https://openalex.org/W6629233218"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W2941285539","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2790658443","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"In":[0,71],"this":[1,72],"paper,":[2],"we":[3],"describe":[4],"a":[5,18,30,40,59,91],"framework":[6],"for":[7,133],"analysis,":[8],"representation":[9,35],"and":[10,52,95,108,115],"matching":[11,84],"of":[12,17,29,49,123,125,136],"three-dimensional":[13,60],"faces.":[14,139],"Basic":[15],"traits":[16],"face":[19,31,79,93,105,127],"are":[20,130],"encoded":[21,65],"by":[22,83],"extracting":[23],"iso-geodesic":[24,50],"stripes":[25,51],"from":[26],"the":[27,46,74,100,121,126,134],"surface":[28,128],"model.":[32],"A":[33],"compact":[34],"is":[36,64,81,109],"then":[37],"constructed":[38],"through":[39],"modeling":[41],"technique":[42],"capable":[43],"to":[44,112],"express":[45],"basic":[47],"shape":[48],"quantitatively":[53],"measure":[54],"their":[55,85],"spatial":[56],"relationships":[57],"in":[58,66],"space.":[61],"This":[62],"information":[63],"an":[67],"attributed":[68],"relational":[69],"graph.":[70],"way,":[73],"structural":[75],"similarity":[76],"between":[77,138],"two":[78],"models":[80],"evaluated":[82],"corresponding":[86],"graphs.":[87],"Experimental":[88],"results":[89],"on":[90],"3D":[92],"database":[94],"baseline":[96],"comparison":[97],"show":[98],"that":[99],"proposed":[101],"solution":[102],"attains":[103],"high":[104],"recognition":[106],"accuracy":[107],"reasonably":[110],"robust":[111],"facial":[113],"expression":[114],"pose":[116],"changes.":[117],"Experiments":[118],"also":[119],"target":[120],"identification":[122],"portions":[124],"which":[129],"most":[131],"significant":[132],"purpose":[135],"discriminating":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}