{"id":"https://openalex.org/W3088628447","doi":"https://doi.org/10.1109/tbiom.2020.3025466","title":"Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation","display_name":"Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3088628447","doi":"https://doi.org/10.1109/tbiom.2020.3025466","mag":"3088628447"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2020.3025466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2020.3025466","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","raw_type":"journal-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/A5041879065","display_name":"Yicheng Zhong","orcid":"https://orcid.org/0000-0001-7661-5384"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Zhong","raw_affiliation_strings":["Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7661-5384","affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051110215","display_name":"Yuru Pei","orcid":"https://orcid.org/0000-0001-8520-3509"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuru Pei","raw_affiliation_strings":["Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8520-3509","affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049752745","display_name":"Peixin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixin Li","raw_affiliation_strings":["Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102210401","display_name":"Yuke Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuke Guo","raw_affiliation_strings":["Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112454300","display_name":"Gengyu Ma","orcid":"https://orcid.org/0000-0002-1016-9884"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gengyu Ma","raw_affiliation_strings":["Department of IT, uSens Incorporation, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, uSens Incorporation, San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457438","display_name":"Meng Liu","orcid":"https://orcid.org/0000-0002-1582-5764"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Liu","raw_affiliation_strings":["Department of IT, Huawei Technologies Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, Huawei Technologies Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078969904","display_name":"Wei Bai","orcid":"https://orcid.org/0000-0002-8898-8070"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Bai","raw_affiliation_strings":["Department of IT, Huawei Technologies Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, Huawei Technologies Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101094114","display_name":"Wenhai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhai Wu","raw_affiliation_strings":["Department of IT, Huawei Technologies Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, Huawei Technologies Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5860-4673","affiliations":[{"raw_affiliation_string":"Department of Machine Intelligence, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8625,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76252879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"3","issue":"1","first_page":"6","last_page":"15"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9962000250816345,"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":0.8024982213973999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764118909835815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6566259860992432},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6559877395629883},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5695728063583374},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5451890230178833},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4982016086578369},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4865095019340515},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4651324152946472},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45689675211906433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45672330260276794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43251511454582214},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4154094457626343},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.41410985589027405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1587895154953003}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8024982213973999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764118909835815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6566259860992432},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6559877395629883},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5695728063583374},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5451890230178833},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4982016086578369},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4865095019340515},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4651324152946472},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45689675211906433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45672330260276794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43251511454582214},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4154094457626343},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.41410985589027405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1587895154953003},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2020.3025466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2020.3025466","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G6478464562","display_name":null,"funder_award_id":"8137119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7098578991","display_name":null,"funder_award_id":"61876008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1487748529","https://openalex.org/W1522301498","https://openalex.org/W1935685005","https://openalex.org/W1974744233","https://openalex.org/W1992187125","https://openalex.org/W2008073424","https://openalex.org/W2017107803","https://openalex.org/W2091785540","https://openalex.org/W2099471712","https://openalex.org/W2107813907","https://openalex.org/W2151802865","https://openalex.org/W2168722300","https://openalex.org/W2194775991","https://openalex.org/W2195231623","https://openalex.org/W2215711223","https://openalex.org/W2237250383","https://openalex.org/W2265959009","https://openalex.org/W2277958045","https://openalex.org/W2281572045","https://openalex.org/W2398381847","https://openalex.org/W2431101926","https://openalex.org/W2468014222","https://openalex.org/W2519131448","https://openalex.org/W2555510177","https://openalex.org/W2593768305","https://openalex.org/W2599226450","https://openalex.org/W2604672468","https://openalex.org/W2609754928","https://openalex.org/W2741192765","https://openalex.org/W2768368415","https://openalex.org/W2771328060","https://openalex.org/W2793146153","https://openalex.org/W2798278116","https://openalex.org/W2806379360","https://openalex.org/W2883758202","https://openalex.org/W2894561622","https://openalex.org/W2895494475","https://openalex.org/W2899771611","https://openalex.org/W2902857081","https://openalex.org/W2922023437","https://openalex.org/W2945729334","https://openalex.org/W2949725501","https://openalex.org/W2962714886","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963403405","https://openalex.org/W2963684088","https://openalex.org/W2963794138","https://openalex.org/W2963980268","https://openalex.org/W2964121744","https://openalex.org/W2964176417","https://openalex.org/W2964204553","https://openalex.org/W2964310454","https://openalex.org/W2964320807","https://openalex.org/W2982024564","https://openalex.org/W3106024060","https://openalex.org/W3126243219","https://openalex.org/W3136489197","https://openalex.org/W4293568373","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6640455264","https://openalex.org/W6652231383","https://openalex.org/W6712629191","https://openalex.org/W6735913928","https://openalex.org/W6735920323","https://openalex.org/W6749271710","https://openalex.org/W6753343845","https://openalex.org/W6755124570","https://openalex.org/W6755465985","https://openalex.org/W6756040250","https://openalex.org/W6790399065"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W2952090425","https://openalex.org/W2538333368","https://openalex.org/W3127866798","https://openalex.org/W4294845631","https://openalex.org/W1518153952"],"abstract_inverted_index":{"Depth":[0],"images":[1,73,99],"are":[2],"widely":[3],"used":[4],"in":[5,109,125,159,171],"3D":[6,51,130,146,173],"head":[7,174],"pose":[8,22,175],"estimation":[9,176],"and":[10,16,85,113,120,145,152,177],"face":[11,31,52,131,179],"reconstruction.":[12],"The":[13,133],"device-specific":[14],"noise":[15],"the":[17,79,93,106,110,114,126,140,149,153,160,166,183],"lack":[18,69],"of":[19,70],"textual":[20],"constraints":[21],"a":[23,28,33,43,50,55,61,68,122],"major":[24],"problem":[25],"for":[26,83,129],"estimating":[27],"nonrigid":[29],"deformable":[30],"from":[32,96],"single":[34,56],"noisy":[35,86,102],"depth":[36,57,63,72,98,117,143],"image.":[37],"In":[38],"this":[39],"article,":[40],"we":[41,77],"present":[42,121],"deep":[44],"neural":[45],"network-based":[46],"framework":[47],"to":[48,91,100],"infer":[49],"consistent":[53],"with":[54,67,74,182],"image":[58,87,118],"captured":[59],"by":[60],"consumer":[62],"camera":[64],"Kinect.":[65],"Confronted":[66],"annotated":[71],"facial":[75],"parameters,":[76],"utilize":[78],"bidirectional":[80],"CycleGAN-based":[81,161],"generator":[82],"denoising":[84],"simulation,":[88],"which":[89],"helps":[90],"generalize":[92],"model":[94],"learned":[95],"synthetic":[97],"real":[101],"ones.":[103],"We":[104],"generate":[105],"code":[107,150],"regressors":[108],"source":[111],"(synthetic)":[112],"target":[115],"(noisy)":[116],"domains":[119],"fusion":[123],"scheme":[124],"parametric":[127],"space":[128],"inference.":[132],"proposed":[134,167],"multi-level":[135],"shape":[136,157],"consistency":[137],"constraint,":[138],"concerning":[139],"embedded":[141],"features,":[142],"maps,":[144],"surfaces,":[147],"couples":[148],"regressor":[151],"domain":[154],"adaptation,":[155],"avoiding":[156],"distortions":[158],"generators.":[162],"Experiments":[163],"demonstrate":[164],"that":[165],"method":[168],"is":[169],"effective":[170],"depth-based":[172],"expressive":[178],"reconstruction":[180],"compared":[181],"state-of-the-art.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
