{"id":"https://openalex.org/W2084907661","doi":"https://doi.org/10.1145/2506206.2506208","title":"Shape perception of thin transparent objects with stereoscopic viewing","display_name":"Shape perception of thin transparent objects with stereoscopic viewing","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2084907661","doi":"https://doi.org/10.1145/2506206.2506208","mag":"2084907661"},"language":"en","primary_location":{"id":"doi:10.1145/2506206.2506208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506206.2506208","pdf_url":null,"source":{"id":"https://openalex.org/S32453091","display_name":"ACM Transactions on Applied Perception","issn_l":"1544-3558","issn":["1544-3558","1544-3965"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Applied Perception","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/A5100765306","display_name":"Jianhui Chen","orcid":"https://orcid.org/0000-0001-6501-9819"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianhui Chen","raw_affiliation_strings":["York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036150889","display_name":"Robert S. Allison","orcid":"https://orcid.org/0000-0002-4485-2665"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert S. Allison","raw_affiliation_strings":["York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.1539,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53343794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9993000030517578,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9937000274658203,"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/T11666","display_name":"Color Science and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.8569025993347168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7650911808013916},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6953602433204651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6888622045516968},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6566883325576782},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6134993433952332},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.6013976335525513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754682421684265},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5138657093048096},{"id":"https://openalex.org/keywords/binocular-disparity","display_name":"Binocular disparity","score":0.4748031198978424},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4143916964530945},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36027097702026367},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3276670575141907},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20207065343856812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20182812213897705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19966542720794678},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16022148728370667},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.142240971326828}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.8569025993347168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7650911808013916},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6953602433204651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6888622045516968},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6566883325576782},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6134993433952332},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.6013976335525513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754682421684265},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5138657093048096},{"id":"https://openalex.org/C90790637","wikidata":"https://www.wikidata.org/wiki/Q11681118","display_name":"Binocular disparity","level":3,"score":0.4748031198978424},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4143916964530945},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36027097702026367},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3276670575141907},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20207065343856812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20182812213897705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19966542720794678},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16022148728370667},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.142240971326828},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2506206.2506208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506206.2506208","pdf_url":null,"source":{"id":"https://openalex.org/S32453091","display_name":"ACM Transactions on Applied Perception","issn_l":"1544-3558","issn":["1544-3558","1544-3965"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Applied Perception","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4688838058","display_name":null,"funder_award_id":"#RGPIN/239072-2010","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1141307196","https://openalex.org/W1539790409","https://openalex.org/W1542873368","https://openalex.org/W1546852670","https://openalex.org/W1578510995","https://openalex.org/W1597739853","https://openalex.org/W1969874727","https://openalex.org/W1983384752","https://openalex.org/W1993299433","https://openalex.org/W1993533797","https://openalex.org/W1996811985","https://openalex.org/W2003537776","https://openalex.org/W2014799957","https://openalex.org/W2054322877","https://openalex.org/W2081762572","https://openalex.org/W2084724639","https://openalex.org/W2100991924","https://openalex.org/W2109452278","https://openalex.org/W2111308925","https://openalex.org/W2114882952","https://openalex.org/W2116567847","https://openalex.org/W2117245566","https://openalex.org/W2123827131","https://openalex.org/W2130770231","https://openalex.org/W2133410426","https://openalex.org/W2246690291","https://openalex.org/W2301787560","https://openalex.org/W2313316825","https://openalex.org/W2326588846","https://openalex.org/W4229523108","https://openalex.org/W4244152159","https://openalex.org/W4255434243","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2585909798","https://openalex.org/W3192645019","https://openalex.org/W155475206","https://openalex.org/W2581812086","https://openalex.org/W2144434930","https://openalex.org/W3014239205","https://openalex.org/W2376536876","https://openalex.org/W3122675670","https://openalex.org/W2041073875","https://openalex.org/W2109426152"],"abstract_inverted_index":{"Many":[0],"materials,":[1],"including":[2],"water":[3],"surfaces,":[4],"jewels,":[5],"and":[6,59,92,133,155,177],"glassware":[7],"exhibit":[8],"transparent":[9,37,53,111,131],"refractions.":[10],"The":[11,47],"human":[12],"visual":[13,29,34],"system":[14,78],"can":[15,32,123,186],"somehow":[16],"recover":[17],"3D":[18],"shape":[19,50,98,108],"from":[20],"refracted":[21],"images.":[22,164],"While":[23],"previous":[24],"research":[25],"has":[26],"elucidated":[27],"various":[28],"cues":[30],"that":[31,121],"facilitate":[33],"perception":[35,51,105],"of":[36,40,49,52,68,106,109,129,139,171,190],"objects,":[38,132],"most":[39],"them":[41],"focused":[42],"on":[43,152],"monocular":[44],"material":[45],"perception.":[46],"question":[48],"objects":[54,112],"is":[55],"much":[56],"more":[57],"complex":[58],"few":[60],"studies":[61],"have":[62],"been":[63],"undertaken,":[64],"particular":[65],"in":[66,163],"terms":[67],"binocular":[69],"vision.":[70],"In":[71],"this":[72],"article,":[73],"we":[74,102,145],"first":[75],"design":[76],"a":[77,93,114],"for":[79],"stereoscopic":[80,90,134],"surface":[81,127,173],"orientation":[82,128,149,161],"estimation":[83],"with":[84],"photo-realistic":[85],"stimuli.":[86],"It":[87],"displays":[88],"pre-rendered":[89],"images":[91],"real-time":[94],"S3D":[95],"(Stereoscopic":[96],"3D)":[97],"probe":[99],"simultaneously.":[100],"Then":[101],"estimate":[103],"people's":[104],"the":[107,126,137,143,160,168,172,188],"thin":[110,130],"using":[113],"gauge":[115],"figure":[116],"task.":[117],"Our":[118],"results":[119],"suggest":[120],"people":[122],"consistently":[124],"perceive":[125],"viewing":[135],"improves":[136],"precision":[138],"estimates.":[140],"To":[141],"explain":[142,181],"results,":[144],"present":[146],"an":[147],"edge-aware":[148],"map":[150],"based":[151],"image":[153],"gradients":[154],"structure":[156],"tensors":[157],"to":[158,180],"illustrate":[159],"information":[162,185],"We":[165],"also":[166],"decomposed":[167],"normal":[169,192],"direction":[170],"into":[174],"azimuth":[175],"angle":[176,179],"slant":[178],"why":[182],"additional":[183],"depth":[184],"improve":[187],"accuracy":[189],"perceived":[191],"direction.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}