{"id":"https://openalex.org/W1996625104","doi":"https://doi.org/10.1117/12.2001729","title":"A semi-automatic 2D to stereoscopic 3D image and video conversion system in a semi-automated segmentation perspective","display_name":"A semi-automatic 2D to stereoscopic 3D image and video conversion system in a semi-automated segmentation perspective","publication_year":2013,"publication_date":"2013-03-12","ids":{"openalex":"https://openalex.org/W1996625104","doi":"https://doi.org/10.1117/12.2001729","mag":"1996625104"},"language":"en","primary_location":{"id":"doi:10.1117/12.2001729","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2001729","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025653663","display_name":"Raymond Phan","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raymond Phan","raw_affiliation_strings":["Ryerson Univ. (Canada)","Ryerson University, CANADA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ryerson Univ. (Canada)","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson University, CANADA","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113967384","display_name":"Dimitrios Androutsos","orcid":"https://orcid.org/0009-0009-4892-6324"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Androutsos","raw_affiliation_strings":["Ryerson Univ. (Canada)","Ryerson University, CANADA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ryerson Univ. (Canada)","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson University, CANADA","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41423214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8648","issue":null,"first_page":"86480V","last_page":"86480V"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778733372688293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.736540675163269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7122304439544678},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6557985544204712},{"id":"https://openalex.org/keywords/2d-to-3d-conversion","display_name":"2D to 3D conversion","score":0.6214004755020142},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5803801417350769},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5626602172851562},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5622286200523376},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44428128004074097},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4295912981033325},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.41757506132125854},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.324766606092453},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3156844973564148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778733372688293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.736540675163269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7122304439544678},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6557985544204712},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.6214004755020142},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5803801417350769},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5626602172851562},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5622286200523376},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44428128004074097},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4295912981033325},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.41757506132125854},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.324766606092453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3156844973564148}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2001729","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2001729","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"mag:3208870304","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201302271054203150","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1520845583","https://openalex.org/W2082709309","https://openalex.org/W1981739126","https://openalex.org/W2020857290","https://openalex.org/W4255706547","https://openalex.org/W1506816029","https://openalex.org/W171103548","https://openalex.org/W2092686592","https://openalex.org/W305753977","https://openalex.org/W1996625104"],"abstract_inverted_index":{"We":[0],"create":[1,181],"a":[2,39,70,115,123,142],"system":[3],"for":[4,47,61,127],"semi-automatically":[5],"converting":[6],"unconstrained":[7],"2D":[8],"images":[9,191],"and":[10,49,95,136,159,192],"videos":[11,193],"into":[12],"stereoscopic":[13,92,190],"3D.":[14],"Current":[15],"efforts":[16],"are":[17,77,85,139],"done":[18],"automatically":[19],"or":[20,29,64],"manually":[21],"by":[22],"rotoscopers.":[23],"The":[24,162],"former":[25],"prohibits":[26],"user":[27],"intervention,":[28],"error":[30],"correction,":[31],"while":[32,52],"the":[33,44,62,74,80,83,104,130,137,150,171,182],"latter":[34],"is":[35,100,122,178],"time":[36,54],"consuming,":[37],"requiring":[38],"large":[40],"staff.":[41],"Semi-automatic":[42],"mixes":[43],"two,":[45],"allowing":[46],"faster":[48],"accurate":[50],"conversion,":[51],"decreasing":[53],"to":[55,69,90,102,180],"release":[56],"3D":[57,93],"content.":[58],"User-defined":[59],"strokes":[60,138],"image,":[63],"over":[65],"several":[66],"keyframes,":[67],"corresponding":[68],"rough":[71],"estimate":[72],"of":[73,82,152,164],"scene":[75],"depths":[76,84,165],"defined.":[78],"After,":[79],"rest":[81],"found,":[86],"creating":[87],"depth":[88,108,124],"maps":[89],"generate":[91,103],"content,":[94],"Depth":[96],"Image":[97],"Based":[98],"Rendering":[99],"employed":[101,179],"artificial":[105],"views.":[106],"Here,":[107],"map":[109],"estimation":[110],"can":[111,133],"be":[112,134],"considered":[113],"as":[114],"multi-label":[116],"segmentation":[117,155],"problem,":[118],"where":[119],"each":[120],"class":[121],"value.":[125],"Optionally,":[126],"video,":[128],"only":[129],"first":[131],"frame":[132],"labelled,":[135],"propagated":[140],"using":[141],"modified":[143],"robust":[144],"tracking":[145],"algorithm.":[146],"Our":[147],"work":[148],"combines":[149],"merits":[151],"two":[153],"respected":[154],"algorithms:":[156],"Graph":[157,176],"Cuts":[158,177],"Random":[160,167],"Walks.":[161],"diffusion":[163],"from":[166,175],"Walks,":[168],"combined":[169],"with":[170,194],"edge":[172],"preserving":[173],"properties":[174],"best":[183],"results":[184],"possible.":[185],"Results":[186],"demonstrate":[187],"good":[188],"quality":[189],"minimal":[195],"effort.":[196]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
