{"id":"https://openalex.org/W3003253727","doi":"https://doi.org/10.1109/ic3d48390.2019.8975899","title":"Predicting Forward &amp; Backward Facial Depth Maps From a Single RGB Image For Mobile 3d AR Application","display_name":"Predicting Forward &amp; Backward Facial Depth Maps From a Single RGB Image For Mobile 3d AR Application","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3003253727","doi":"https://doi.org/10.1109/ic3d48390.2019.8975899","mag":"3003253727"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d48390.2019.8975899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d48390.2019.8975899","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 3D Immersion (IC3D)","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/A5051943334","display_name":"P M Avinash","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P Avinash","raw_affiliation_strings":["Indian Institute of Technology,Madras,India","Indian Institute of Technology, Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Madras,India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060979725","display_name":"Mansi Sharma","orcid":"https://orcid.org/0000-0003-3243-3321"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mansi Sharma","raw_affiliation_strings":["Indian Institute of Technology,Madras,India","Indian Institute of Technology, Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Madras,India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051943334"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66865266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9900000095367432,"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/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018922209739685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6591368913650513},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5994132161140442},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5832112431526184},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5657669305801392},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5530809760093689},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5389099717140198},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5361772179603577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5212053060531616},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5165492296218872},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49470922350883484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44084417819976807},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43892282247543335},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43546727299690247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018922209739685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6591368913650513},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5994132161140442},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5832112431526184},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5657669305801392},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5530809760093689},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5389099717140198},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5361772179603577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5212053060531616},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5165492296218872},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49470922350883484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44084417819976807},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43892282247543335},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43546727299690247},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/ic3d48390.2019.8975899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d48390.2019.8975899","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 3D Immersion (IC3D)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W2237250383","https://openalex.org/W2259767047","https://openalex.org/W2277958045","https://openalex.org/W2412782625","https://openalex.org/W2590148859","https://openalex.org/W2599226450","https://openalex.org/W2612445135","https://openalex.org/W2767048616","https://openalex.org/W2792226389","https://openalex.org/W2795260501","https://openalex.org/W2963163009","https://openalex.org/W2963342110","https://openalex.org/W2963958774","https://openalex.org/W2964014798","https://openalex.org/W2964121744","https://openalex.org/W4297775537","https://openalex.org/W6631190155","https://openalex.org/W6737664043","https://openalex.org/W6750172629"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W4390516098","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W2181948922","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W3034529322","https://openalex.org/W2003805688"],"abstract_inverted_index":{"Cheap":[0],"and":[1,56,105,113,138],"fast":[2,12],"3D":[3,24],"asset":[4],"creation":[5],"to":[6,45,100,125],"enable":[7],"AR/VR":[8],"applications":[9],"is":[10,71,76,91,123],"a":[11,18,27,34,39,51,62,95,110,119],"growing":[13],"domain.":[14],"This":[15,90],"paper":[16],"addresses":[17],"significant":[19],"problem":[20],"of":[21,26,50,78,82,86],"reconstructing":[22],"complete":[23],"information":[25],"face":[28,88],"in":[29],"near":[30],"real-time":[31],"speed":[32],"on":[33],"mobile":[35],"phone.":[36],"We":[37],"propose":[38],"novel":[40],"deep":[41],"learning":[42,79],"based":[43],"solution":[44],"predict":[46],"robust":[47],"depth":[48,107,130],"maps":[49,131],"face,":[52],"one":[53],"forward":[54],"facing":[55],"the":[57,66,73,80,83,87,102,127,133],"other":[58],"backward":[59],"facing,":[60],"from":[61,65,132],"single":[63],"image":[64],"wild.":[67],"A":[68],"critical":[69],"contribution":[70],"that":[72],"proposed":[74],"network":[75,99],"capable":[77],"depths":[81],"occluded":[84],"part":[85],"too.":[89],"achieved":[92],"by":[93],"training":[94,134],"fully":[96],"convolutional":[97],"neural":[98],"learn":[101],"dual":[103,129],"(forward":[104],"backward)":[106],"maps,":[108],"with":[109],"common":[111],"encoder":[112],"two":[114],"separate":[115],"decoders.":[116],"The":[117,136],"300W-LP,":[118],"cloud":[120],"point":[121],"dataset,":[122],"used":[124],"compute":[126],"required":[128],"data.":[135],"code":[137],"results":[139],"will":[140],"be":[141],"made":[142],"available":[143],"at":[144],"project":[145],"page.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
