{"id":"https://openalex.org/W2181013210","doi":"https://doi.org/10.1109/3dv.2015.32","title":"Half-Occluded Regions and Detection of Pseudoscopy","display_name":"Half-Occluded Regions and Detection of Pseudoscopy","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2181013210","doi":"https://doi.org/10.1109/3dv.2015.32","mag":"2181013210"},"language":"en","primary_location":{"id":"doi:10.1109/3dv.2015.32","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv.2015.32","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on 3D Vision","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/A5037791080","display_name":"Jonathan Bouchard","orcid":"https://orcid.org/0000-0002-6327-9526"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jonathan Bouchard","raw_affiliation_strings":["Centre for Intelligent Machines, McGill University, Montreal, Canada","Mokko Studio, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Machines, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Mokko Studio, Montreal, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072095174","display_name":"Yasin Nazzar","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yasin Nazzar","raw_affiliation_strings":["Centre for Intelligent Machines, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Machines, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079264223","display_name":"James J. Clark","orcid":"https://orcid.org/0000-0002-4512-6171"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"James J. Clark","raw_affiliation_strings":["Centre for Intelligent Machines, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Machines, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037791080"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.8065,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71836118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"215","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9987999796867371,"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":0.9987999796867371,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9908999800682068,"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-vision","display_name":"Computer vision","score":0.7719628810882568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.722723126411438},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7101842761039734},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.6870206594467163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903122425079346},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4944028854370117},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4499994218349457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19363132119178772},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09244811534881592}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7719628810882568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722723126411438},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7101842761039734},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.6870206594467163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903122425079346},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4944028854370117},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4499994218349457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19363132119178772},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09244811534881592},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv.2015.32","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv.2015.32","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on 3D Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1577923144","https://openalex.org/W1968799614","https://openalex.org/W2007817642","https://openalex.org/W2008806336","https://openalex.org/W2045399477","https://openalex.org/W2073364502","https://openalex.org/W2091172336","https://openalex.org/W2111992298","https://openalex.org/W2130314306","https://openalex.org/W2134963900","https://openalex.org/W2136199528","https://openalex.org/W2148310989","https://openalex.org/W2151931211","https://openalex.org/W2152541238","https://openalex.org/W2160956336","https://openalex.org/W6676429839"],"related_works":["https://openalex.org/W1536158975","https://openalex.org/W2393788985","https://openalex.org/W2157670837","https://openalex.org/W2029966401","https://openalex.org/W2374120702","https://openalex.org/W2288745733","https://openalex.org/W2631594184","https://openalex.org/W2072849536","https://openalex.org/W1983607852","https://openalex.org/W1531686125"],"abstract_inverted_index":{"We":[0],"propose":[1],"that":[2,9],"left-":[3],"and":[4,14,38],"right-half-occlusion":[5],"regions":[6,116,140],"contain":[7],"information":[8],"can":[10],"distinguish":[11],"between":[12],"stereoscopic":[13,88],"pseudoscopic":[15,61,80],"display":[16],"conditions.":[17],"A":[18],"machine":[19],"vision":[20],"method":[21],"is":[22],"presented":[23,105],"based":[24],"on":[25,114,138],"this":[26,66],"idea,":[27],"which":[28,48],"detects":[29],"pseudo":[30],"copy":[31],"using":[32],"only":[33],"the":[34,50],"histograms":[35],"of":[36,52,65,73,84,120,127],"left":[37],"right":[39],"half-occlusion":[40,115,139],"pixel":[41],"locations.":[42],"Two":[43],"psychophysical":[44],"experiments":[45],"are":[46],"described":[47],"study":[49,67],"ability":[51],"human":[53],"viewers":[54],"to":[55,82,112,124],"detect,":[56],"or":[57,107],"be":[58,83],"influenced":[59],"by,":[60],"display.":[62],"The":[63],"results":[64],"show":[68],"that,":[69],"during":[70],"free":[71],"viewing":[72],"HD":[74],"3D":[75],"video":[76,102],"imagery,":[77],"humans":[78],"judged":[79],"imagery":[81],"lower":[85],"quality":[86],"than":[87],"imagery.":[89],"Subjects":[90,109],"performed":[91],"at":[92],"a":[93,99,118,125],"72%":[94],"rate":[95],"in":[96],"deciding":[97],"whether":[98],"short":[100],"5-second":[101],"clip":[103],"was":[104],"stereoscopically":[106],"pseudoscopically.":[108],"were":[110,148],"observed":[111],"fixate":[113],"with":[117],"frequency":[119,126],"15.8%,":[121],"as":[122],"opposed":[123],"7.8%":[128],"indicated":[129],"by":[130],"random":[131],"chance.":[132],"Viewers":[133],"more":[134],"frequently":[135],"(17.4%)":[136],"fixated":[137],"when":[141,146],"making":[142],"correct":[143],"decisions":[144],"then":[145],"they":[147],"incorrect":[149],"(11.9%).":[150]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
