{"id":"https://openalex.org/W2166901007","doi":"https://doi.org/10.1109/tmm.2010.2046267","title":"A Bayesian Approach to Automated Creation of Tactile Facial Images","display_name":"A Bayesian Approach to Automated Creation of Tactile Facial Images","publication_year":2010,"publication_date":"2010-03-24","ids":{"openalex":"https://openalex.org/W2166901007","doi":"https://doi.org/10.1109/tmm.2010.2046267","mag":"2166901007"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2010.2046267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2010.2046267","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5059368449","display_name":"Zheshen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zheshen Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101620547","display_name":"Baoxin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059368449"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.2749,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82831105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"4","first_page":"233","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9976999759674072,"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":0.9976999759674072,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9781000018119812,"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/computer-science","display_name":"Computer science","score":0.8479642868041992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.746211051940918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6904553174972534},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6874945759773254},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.6542338132858276},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5573333501815796},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5464426875114441},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4928114712238312},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.46120351552963257},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.44177955389022827},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43785566091537476},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.4365460276603699},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43617191910743713},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.37633007764816284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3382282257080078},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2889177203178406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8479642868041992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.746211051940918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6904553174972534},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6874945759773254},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.6542338132858276},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5573333501815796},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5464426875114441},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4928114712238312},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.46120351552963257},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.44177955389022827},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43785566091537476},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.4365460276603699},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43617191910743713},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.37633007764816284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3382282257080078},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2889177203178406},{"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2010.2046267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2010.2046267","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1499329969","https://openalex.org/W1601941589","https://openalex.org/W1855204404","https://openalex.org/W1984813860","https://openalex.org/W2009639458","https://openalex.org/W2033419168","https://openalex.org/W2035100432","https://openalex.org/W2038952578","https://openalex.org/W2053290137","https://openalex.org/W2056615005","https://openalex.org/W2080313112","https://openalex.org/W2102512156","https://openalex.org/W2103265518","https://openalex.org/W2104095591","https://openalex.org/W2109493099","https://openalex.org/W2114171253","https://openalex.org/W2121782097","https://openalex.org/W2131373264","https://openalex.org/W2132702046","https://openalex.org/W2145536721","https://openalex.org/W2148491550","https://openalex.org/W2152826865","https://openalex.org/W2153017433","https://openalex.org/W2153548487","https://openalex.org/W2157054101","https://openalex.org/W2157149292","https://openalex.org/W2237250383","https://openalex.org/W2994340921","https://openalex.org/W3110683067","https://openalex.org/W6629740406","https://openalex.org/W6636079996","https://openalex.org/W6638958570","https://openalex.org/W6674975915","https://openalex.org/W6676607618","https://openalex.org/W6677133630","https://openalex.org/W6679314407","https://openalex.org/W6681294378","https://openalex.org/W6682011138","https://openalex.org/W6903579595"],"related_works":["https://openalex.org/W325114128","https://openalex.org/W2116055069","https://openalex.org/W2143937453","https://openalex.org/W4390269781","https://openalex.org/W2810769215","https://openalex.org/W2104680354","https://openalex.org/W1996076863","https://openalex.org/W3022236801","https://openalex.org/W2124641970","https://openalex.org/W2952596593"],"abstract_inverted_index":{"Portrait":[0],"photos":[1],"(facial":[2],"images)":[3],"play":[4],"important":[5],"social":[6],"and":[7,50,73],"emotional":[8],"roles":[9],"in":[10,156,163],"our":[11],"life.":[12],"This":[13,26],"type":[14],"of":[15,118,134,152],"visual":[16,24,161],"media":[17],"is":[18,56,103],"unfortunately":[19],"inaccessible":[20],"by":[21,52,105,142],"users":[22],"with":[23,71,125,127],"impairment.":[25],"paper":[27],"proposes":[28],"a":[29,39,47,53,60,78,164],"systematic":[30],"approach":[31,155],"for":[32,89],"automatically":[33],"converting":[34],"human":[35],"facial":[36],"images":[37,93,139],"into":[38],"tactile":[40,48,137],"form":[41],"that":[42],"can":[43],"be":[44],"printed":[45],"on":[46,114],"printer":[49],"explored":[51],"user":[54],"who":[55],"blind.":[57],"We":[58,81,111],"propose":[59],"deformable":[61],"Bayesian":[62],"Active":[63],"Shape":[64],"Model":[65],"(BASM),":[66],"which":[67],"integrates":[68],"anthropometric":[69],"priors":[70],"shape":[72],"appearance":[74],"information":[75,162],"learnt":[76],"from":[77],"face":[79,92,98,119,138,165],"dataset.":[80],"design":[82],"an":[83,96],"inference":[84],"algorithm":[85],"under":[86],"this":[87],"model":[88,102],"processing":[90],"new":[91],"to":[94],"create":[95],"input-adaptive":[97],"sketch.":[99],"Further,":[100],"the":[101,116,122,135,150,153],"enhanced":[104],"input-specific":[106],"details":[107],"through":[108],"semantic-aware":[109],"processing.":[110],"report":[112],"experiments":[113],"evaluating":[115],"accuracy":[117],"alignment":[120],"using":[121],"proposed":[123,154],"method,":[124],"comparison":[126],"other":[128],"state-of-the-art":[129],"results.":[130],"Furthermore,":[131],"subjective":[132],"evaluations":[133],"produced":[136],"were":[140],"performed":[141],"17":[143],"persons":[144],"including":[145],"six":[146],"visually-impaired":[147],"users,":[148],"confirming":[149],"effectiveness":[151],"conveying":[157],"via":[158],"haptics":[159],"vital":[160],"image.":[166]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}