{"id":"https://openalex.org/W3006448742","doi":"https://doi.org/10.1109/icb45273.2019.8987234","title":"Regressing 3D Face Shapes from Arbitrary Image Sets with Disentanglement in Shape Space","display_name":"Regressing 3D Face Shapes from Arbitrary Image Sets with Disentanglement in Shape Space","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3006448742","doi":"https://doi.org/10.1109/icb45273.2019.8987234","mag":"3006448742"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5102305778","display_name":"Wan Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan Tian","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035991702","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0002-6625-0593"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Zhao","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.1016,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48491529,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9972000122070312,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9968000054359436,"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":0.7425039410591125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7127590179443359},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6987798810005188},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6624026894569397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6512136459350586},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5778062343597412},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5665478706359863},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.554844081401825},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.542901873588562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47582629323005676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44287484884262085},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.4164726138114929},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06561124324798584}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7425039410591125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7127590179443359},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6987798810005188},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6624026894569397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512136459350586},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5778062343597412},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5665478706359863},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.554844081401825},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.542901873588562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47582629323005676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44287484884262085},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.4164726138114929},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06561124324798584},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb45273.2019.8987234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W125358319","https://openalex.org/W1528027764","https://openalex.org/W1682276745","https://openalex.org/W1782590233","https://openalex.org/W1935685005","https://openalex.org/W1940113235","https://openalex.org/W2009431074","https://openalex.org/W2012075579","https://openalex.org/W2049981393","https://openalex.org/W2087681821","https://openalex.org/W2107037917","https://openalex.org/W2133295669","https://openalex.org/W2134724684","https://openalex.org/W2137306662","https://openalex.org/W2146566773","https://openalex.org/W2155211928","https://openalex.org/W2157285372","https://openalex.org/W2160126058","https://openalex.org/W2185747648","https://openalex.org/W2237250383","https://openalex.org/W2261888986","https://openalex.org/W2310705318","https://openalex.org/W2395413133","https://openalex.org/W2464650832","https://openalex.org/W2465108587","https://openalex.org/W2467255717","https://openalex.org/W2471370490","https://openalex.org/W2520331172","https://openalex.org/W2584229793","https://openalex.org/W2605701576","https://openalex.org/W2621394537","https://openalex.org/W2785721126","https://openalex.org/W2798896170","https://openalex.org/W2805603694","https://openalex.org/W2912990735","https://openalex.org/W2949662773","https://openalex.org/W2962890008","https://openalex.org/W3103527361","https://openalex.org/W3104792420","https://openalex.org/W6631649180","https://openalex.org/W6640455264","https://openalex.org/W6680591342","https://openalex.org/W6692610018"],"related_works":["https://openalex.org/W2126962853","https://openalex.org/W2464585191","https://openalex.org/W2167243075","https://openalex.org/W2532906573","https://openalex.org/W2121756800","https://openalex.org/W1957945098","https://openalex.org/W2126348201","https://openalex.org/W2144085839","https://openalex.org/W2245350120","https://openalex.org/W2501263300"],"abstract_inverted_index":{"Existing":[0],"methods":[1],"for":[2],"reconstructing":[3],"3D":[4,41,78],"faces":[5],"from":[6],"multiple":[7,96],"unconstrained":[8],"images":[9,56,97],"mainly":[10],"focus":[11],"on":[12,53],"generating":[13],"a":[14],"canonical":[15],"identity":[16,26,45],"shape.":[17],"This":[18],"paper":[19],"instead":[20],"aims":[21],"to":[22,33,57,82,85,99,109],"optimize":[23],"both":[24,59,88],"the":[25,29,54,95],"shape":[27,63,92,103],"and":[28,46,49,75,90,98],"deformed":[30],"shapes":[31,43,61,80],"unique":[32],"individual":[34],"images.":[35],"To":[36],"this":[37],"end,":[38],"we":[39],"disentangle":[40],"face":[42,79],"into":[44],"residual":[47],"components":[48],"leverage":[50],"facial":[51],"landmarks":[52],"2D":[55],"regress":[58],"component":[60],"in":[62],"space":[64],"directly.":[65],"Compared":[66],"with":[67,101],"existing":[68],"methods,":[69],"our":[70,116],"method":[71,117],"reconstructs":[72],"more":[73],"personalized":[74],"visually":[76],"appealing":[77],"thanks":[81],"its":[83],"ability":[84],"effectively":[86],"explore":[87],"common":[89],"different":[91],"characteristics":[93],"among":[94],"cope":[100],"various":[102],"deformation":[104],"that":[105,115],"is":[106],"not":[107],"limited":[108],"expression":[110],"changes.":[111],"Quantitative":[112],"evaluation":[113],"shows":[114],"achieves":[118],"lower":[119],"reconstruction":[120],"errors":[121],"than":[122],"state-of-the-art":[123],"methods.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
