{"id":"https://openalex.org/W2053220416","doi":"https://doi.org/10.1109/vcip.2014.7051509","title":"Stereo correspondence using an assisted discrete cosine transform method","display_name":"Stereo correspondence using an assisted discrete cosine transform method","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2053220416","doi":"https://doi.org/10.1109/vcip.2014.7051509","mag":"2053220416"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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/A5072685728","display_name":"Edward Rosales","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":true,"raw_author_name":"Edward Rosales","raw_affiliation_strings":["Ryerson University, Toronto Ontario, Canada","Ryerson University Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto Ontario, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson University Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001287866","display_name":"Ling Guan","orcid":"https://orcid.org/0000-0002-2681-2504"},"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":"Ling Guan","raw_affiliation_strings":["Ryerson University, Toronto Ontario, Canada","Ryerson University Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto Ontario, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Ryerson University Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072685728"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11815875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2006","issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9980999827384949,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9955000281333923,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081583738327026},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5928143858909607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5706732273101807},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5662921071052551},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5592496395111084},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5590512156486511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5206927061080933},{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.5199781060218811},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46045568585395813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45722925662994385},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.45027440786361694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4500001072883606},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42081668972969055},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.41205018758773804},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.3554844856262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537355363368988}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081583738327026},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5928143858909607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706732273101807},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5662921071052551},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5592496395111084},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5590512156486511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206927061080933},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.5199781060218811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46045568585395813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45722925662994385},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.45027440786361694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4500001072883606},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42081668972969055},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.41205018758773804},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.3554844856262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537355363368988},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2014.7051509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1596194851","https://openalex.org/W1674866864","https://openalex.org/W1975840851","https://openalex.org/W1996126470","https://openalex.org/W2031614119","https://openalex.org/W2042635090","https://openalex.org/W2093117706","https://openalex.org/W2097251401","https://openalex.org/W2112421488","https://openalex.org/W2113873920","https://openalex.org/W2117430149","https://openalex.org/W2131372145","https://openalex.org/W2132219293","https://openalex.org/W2156226240","https://openalex.org/W3021908862","https://openalex.org/W6604987197","https://openalex.org/W6635757882","https://openalex.org/W6679506782"],"related_works":["https://openalex.org/W3155305109","https://openalex.org/W2963989261","https://openalex.org/W166607970","https://openalex.org/W2380369118","https://openalex.org/W2128379799","https://openalex.org/W2358041764","https://openalex.org/W1842746982","https://openalex.org/W4306194383","https://openalex.org/W4306249900","https://openalex.org/W2126928314"],"abstract_inverted_index":{"In":[0],"this":[1,134],"paper,":[2],"a":[3,8,20,26,44,49],"stereo":[4,23,45,60,64],"matching":[5,22,41],"algorithm":[6,17,39,80,103],"using":[7],"window":[9,73,82],"based":[10,74,83],"frequency":[11,31,84,91],"comparison":[12],"method":[13],"is":[14,36,104,115],"formulated.":[15],"The":[16,38,102],"works":[18],"with":[19],"local":[21],"model":[24],"where":[25],"normalized":[27],"cost":[28,51],"function":[29,52],"between":[30],"components":[32,92],"and":[33,47,111,117],"intensity":[34,76,141,154],"values":[35],"used.":[37],"determines":[40],"points":[42],"in":[43,124,146],"pair":[46],"uses":[48,81],"weighted":[50],"to":[53,86,93,121],"determine":[54,68],"the":[55,59,78,88,100,107,122],"true":[56],"disparity":[57,70],"of":[58,90,99],"pair.":[61],"Unlike":[62],"classical":[63],"correspondence":[65],"algorithms":[66],"that":[67,113],"initial":[69],"maps":[71],"through":[72],"color":[75,140,153],"comparisons,":[77],"proposed":[79],"comparisons":[85,142,155],"exemplify":[87],"ability":[89],"accurately":[94],"find":[95],"high":[96],"detailed":[97],"segments":[98],"image.":[101],"evaluated":[105],"on":[106],"Middlebury":[108],"data":[109],"sets,":[110],"shows":[112],"it":[114],"noise":[116,144],"distortion":[118],"resistant":[119],"similar":[120],"work":[123],"[1],":[125],"thus":[126],"allowing":[127],"for":[128],"higher":[129],"reliability":[130],"during":[131],"comparisons.":[132],"Additionally,":[133],"provides":[135],"an":[136,147],"advantage":[137],"over":[138],"typical":[139],"as":[143],"present":[145],"image":[148],"may":[149],"cause":[150],"mismatching":[151],"when":[152],"are":[156],"executed.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}