{"id":"https://openalex.org/W4389780867","doi":"https://doi.org/10.1145/3627341.3630365","title":"A Binocular Vision Stereo Matching Algorithm for Depth Map Estimation","display_name":"A Binocular Vision Stereo Matching Algorithm for Depth Map Estimation","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4389780867","doi":"https://doi.org/10.1145/3627341.3630365"},"language":"en","primary_location":{"id":"doi:10.1145/3627341.3630365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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/A5034313248","display_name":"X.F. Wang","orcid":"https://orcid.org/0009-0000-2901-0665"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueguang Wang","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-2901-0665","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041900333","display_name":"Hongru Wang","orcid":"https://orcid.org/0009-0009-2379-4142"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongru Wang","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-2379-4142","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026250803","display_name":"Jia Bao Wang","orcid":"https://orcid.org/0009-0000-6984-666X"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-6984-666X","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034313248"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16735402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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":0.9944999814033508,"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":0.6803528666496277},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5981835722923279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5922489166259766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5094817280769348},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4953283369541168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4469946622848511},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.43112337589263916},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.42746323347091675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38735055923461914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34198155999183655}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803528666496277},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5981835722923279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5922489166259766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094817280769348},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4953283369541168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4469946622848511},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.43112337589263916},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.42746323347091675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38735055923461914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34198155999183655},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627341.3630365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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":7,"referenced_works":["https://openalex.org/W168460524","https://openalex.org/W2048679181","https://openalex.org/W2113873920","https://openalex.org/W2117248802","https://openalex.org/W2597483214","https://openalex.org/W3172692034","https://openalex.org/W3206657495"],"related_works":["https://openalex.org/W2362975861","https://openalex.org/W1592682627","https://openalex.org/W2290243676","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2103432623","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850","https://openalex.org/W3185036955"],"abstract_inverted_index":{"A":[0],"new":[1],"binocular":[2],"stereo":[3,15],"matching":[4,16,27,199],"algorithm":[5,17,173],"is":[6,18,104,121,140,150,174,188],"proposed":[7],"to":[8,20,76,85,92,106,124,133,191],"solve":[9],"the":[10,13,34,38,41,46,50,53,57,63,68,72,77,81,86,90,94,98,101,108,112,115,119,125,134,138,143,147,153,162,167,172,177],"problem":[11],"that":[12,161],"existing":[14],"susceptible":[19],"noise":[21],"and":[22,25,37,56,61,88,114,137,204],"pixel":[23,70,79],"mismatch":[24,164],"wrong":[26],"in":[28,176,194],"weak":[29],"texture":[30,116,135],"areas.":[31],"First,":[32],"set":[33,131],"search":[35,47],"window":[36,43,55,74,83],"neighborhood":[39,42,54,73],"window,":[40,48,60],"slides":[44],"inside":[45],"compare":[49],"similarity":[51],"between":[52],"Census":[58],"transformation":[59,82],"determine":[62],"degree":[64],"of":[65,67,71,80,97,111,118,166,179,201,207],"influence":[66],"center":[69,78],"relative":[75],"according":[84,123,132],"similarity,":[87],"assign":[89],"weight":[91],"process":[93],"gray":[95],"value":[96,110],"pixel.":[99],"Secondly,":[100],"Sobel":[102],"operator":[103],"introduced":[105],"calculate":[107],"gradient":[109,126],"image,":[113],"level":[117],"image":[120],"divided":[122],"value.":[127],"Three":[128],"thresholds":[129],"are":[130],"level,":[136],"parallax":[139],"aggregated":[141],"with":[142,184],"cross-domain":[144],"algorithm.":[145],"Finally,":[146],"disparity":[148,168,202,208],"map":[149,169],"optimized":[151],"by":[152,171],"least":[154],"squares":[155],"fitting":[156],"plane":[157],"method.":[158],"Experiments":[159],"show":[160],"average":[163],"rate":[165],"processed":[170],"5.39%":[175],"test":[178],"randomly":[180],"selected":[181],"images.":[182],"Compared":[183],"other":[185],"algorithms,":[186],"it":[187],"more":[189],"robust":[190],"noise,":[192],"smoother":[193],"low-texture":[195],"areas,":[196],"has":[197],"higher":[198],"accuracy":[200],"maps,":[203],"better":[205],"optimization":[206],"maps.":[209]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}