{"id":"https://openalex.org/W2126316281","doi":"https://doi.org/10.1109/smi.2008.4548001","title":"Learning 3D Face Models for shape based retrieval","display_name":"Learning 3D Face Models for shape based retrieval","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2126316281","doi":"https://doi.org/10.1109/smi.2008.4548001","mag":"2126316281"},"language":"en","primary_location":{"id":"doi:10.1109/smi.2008.4548001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smi.2008.4548001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Shape Modeling and Applications","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/A5111507768","display_name":"Masayoshi Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masayoshi Taniguchi","raw_affiliation_strings":["University of Yamanashi, Kofu, Japan"],"affiliations":[{"raw_affiliation_string":"University of Yamanashi, Kofu, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110274109","display_name":"Masaki Tezuka","orcid":null},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Tezuka","raw_affiliation_strings":["University of Yamanashi, Kofu, Japan"],"affiliations":[{"raw_affiliation_string":"University of Yamanashi, Kofu, Japan","institution_ids":["https://openalex.org/I66906201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064155521","display_name":"Ryutarou Ohbuchi","orcid":"https://orcid.org/0000-0002-7605-9135"},"institutions":[{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryutarou Ohbuchi","raw_affiliation_strings":["University of Yamanashi, Kofu, Japan"],"affiliations":[{"raw_affiliation_string":"University of Yamanashi, Kofu, Japan","institution_ids":["https://openalex.org/I66906201"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111507768"],"corresponding_institution_ids":["https://openalex.org/I66906201"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13545271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"290","issue":null,"first_page":"269","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"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":0.7445688843727112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338301539421082},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6540484428405762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5898875594139099},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5529508590698242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5216408371925354},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43632930517196655},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4132082164287567},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4041369557380676}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445688843727112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338301539421082},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6540484428405762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5898875594139099},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5529508590698242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5216408371925354},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43632930517196655},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4132082164287567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4041369557380676},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smi.2008.4548001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smi.2008.4548001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Shape Modeling and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1561952261","https://openalex.org/W2023705581","https://openalex.org/W2053186076","https://openalex.org/W2074880021","https://openalex.org/W2099789128","https://openalex.org/W2154872931","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2905271011","https://openalex.org/W3174759195","https://openalex.org/W2132337154","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006","https://openalex.org/W60493759"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,48],"evaluate":[4],"the":[5,25,40,43,46,66,83,87,98],"effect":[6],"of":[7,29,58,62,65,80,86,118],"learning":[8,104,112],"algorithms,":[9],"unsupervised":[10,103],"and":[11,27,108],"supervised,":[12],"for":[13,39,45,97],"3D":[14,32],"face":[15,33],"model":[16],"retrieval":[17],"using":[18],"a":[19,109],"global":[20,50,67,100],"shape":[21,51,57],"feature.":[22],"We":[23],"used":[24,49],"dataset":[26],"protocol":[28],"SHREC":[30,88],"2007":[31,37,89],"models":[34],"track":[35],"(SHREC":[36],"3DFMT)":[38],"evaluation.":[41],"Unlike":[42],"entrants":[44],"track,":[47],"features":[52],"to":[53],"capture":[54],"overall":[55],"geometric":[56],"faces,":[59],"e.g.,":[60],"that":[61],"foreheads.":[63],"One":[64],"features,":[68],"as":[69],"it":[70],"is,":[71],"produced":[72,106,114],"mean":[73],"average":[74],"precision":[75],"highly":[76],"relevant":[77],"(MAPH)":[78],"figure":[79],"0.84,":[81],"outperforming":[82],"top":[84],"finisher":[85],"3DFMT":[90],"whose":[91],"MAPH=0.66.":[92],"Learning":[93],"was":[94],"quite":[95],"effective;":[96],"same":[99],"feature,":[101],"an":[102,115],"method":[105,113],"MAPH=0.90,":[107],"simple":[110],"supervised":[111],"\"ideal\"":[116],"performance":[117],"MAPH=1.0..":[119]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
