{"id":"https://openalex.org/W2920991384","doi":"https://doi.org/10.1109/tip.2019.2903318","title":"Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching","display_name":"Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching","publication_year":2019,"publication_date":"2019-03-06","ids":{"openalex":"https://openalex.org/W2920991384","doi":"https://doi.org/10.1109/tip.2019.2903318","mag":"2920991384","pmid":"https://pubmed.ncbi.nlm.nih.gov/30843840"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2903318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2903318","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5011667987","display_name":"Tingman Yan","orcid":"https://orcid.org/0000-0002-7370-6077"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingman Yan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7370-6077","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060814607","display_name":"Yangzhou Gan","orcid":"https://orcid.org/0000-0003-2539-1864"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangzhou Gan","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2539-1864","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059713741","display_name":"Zeyang Xia","orcid":"https://orcid.org/0000-0002-0075-7949"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Xia","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0075-7949","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012968999","display_name":"Qunfei Zhao","orcid":"https://orcid.org/0000-0002-9882-730X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunfei Zhao","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.254,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.9381643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"28","issue":"8","first_page":"3885","last_page":"3897"},"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":0.9969000220298767,"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":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7448347210884094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7428954243659973},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.7269945740699768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5566965937614441},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5039147734642029},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4842262268066406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48252126574516296},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.4237223267555237},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4227829575538635},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4225139617919922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3809899091720581},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32440364360809326},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.31218424439430237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23075497150421143},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0896683931350708}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7448347210884094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428954243659973},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7269945740699768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5566965937614441},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5039147734642029},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4842262268066406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48252126574516296},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4237223267555237},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4227829575538635},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4225139617919922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3809899091720581},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32440364360809326},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.31218424439430237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23075497150421143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0896683931350708},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2903318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2903318","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30843840","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30843840","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2606939283","display_name":null,"funder_award_id":"2014B090919002","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G8907854713","display_name":null,"funder_award_id":"61773365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1597928342","https://openalex.org/W1674866864","https://openalex.org/W1908164922","https://openalex.org/W1935460876","https://openalex.org/W1960158033","https://openalex.org/W1964057156","https://openalex.org/W1978836586","https://openalex.org/W1981765608","https://openalex.org/W1996126470","https://openalex.org/W1999478155","https://openalex.org/W2006943762","https://openalex.org/W2014345353","https://openalex.org/W2039580825","https://openalex.org/W2053467532","https://openalex.org/W2085261163","https://openalex.org/W2093117706","https://openalex.org/W2101309634","https://openalex.org/W2104974755","https://openalex.org/W2106257280","https://openalex.org/W2106403211","https://openalex.org/W2111073598","https://openalex.org/W2112421488","https://openalex.org/W2113137767","https://openalex.org/W2113873920","https://openalex.org/W2117248802","https://openalex.org/W2120275812","https://openalex.org/W2120433174","https://openalex.org/W2121781154","https://openalex.org/W2123754943","https://openalex.org/W2123782500","https://openalex.org/W2132219293","https://openalex.org/W2140200866","https://openalex.org/W2143516773","https://openalex.org/W2144041313","https://openalex.org/W2146018250","https://openalex.org/W2153396823","https://openalex.org/W2156585821","https://openalex.org/W2164918853","https://openalex.org/W2165835468","https://openalex.org/W2254462240","https://openalex.org/W2257320143","https://openalex.org/W2440384215","https://openalex.org/W2509732761","https://openalex.org/W2545834714","https://openalex.org/W2549571110","https://openalex.org/W2554828302","https://openalex.org/W2605436280","https://openalex.org/W2728277730","https://openalex.org/W2736912016","https://openalex.org/W2745471877","https://openalex.org/W2963496125","https://openalex.org/W2963619659","https://openalex.org/W4246070010","https://openalex.org/W6640081555","https://openalex.org/W6649461136","https://openalex.org/W6660133353","https://openalex.org/W6674024342","https://openalex.org/W6675836968","https://openalex.org/W6679506782","https://openalex.org/W6729099241"],"related_works":["https://openalex.org/W2180905035","https://openalex.org/W2396038226","https://openalex.org/W2169282664","https://openalex.org/W2151646056","https://openalex.org/W2143052184","https://openalex.org/W2166869208","https://openalex.org/W4233585817","https://openalex.org/W1552759590","https://openalex.org/W2150734839","https://openalex.org/W2118215373"],"abstract_inverted_index":{"In":[0,65,96],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,40,57,83,100,123,160,182],"disparity":[6,15,41,63,125,178,188],"refinement":[7,126],"method":[8,127,153],"that":[9,150,172],"directly":[10],"refines":[11],"the":[12,24,28,32,62,66,90,97,139,144,151,165,173],"winner-take-all":[13],"(WTA)":[14],"map":[16,189],"by":[17,48,75],"exploring":[18],"its":[19],"statistical":[20],"significance.":[21],"According":[22],"to":[23,60,185],"primary":[25],"steps":[26],"of":[27,71],"segment-based":[29],"stereo":[30,133,157],"matching,":[31],"reference":[33],"image":[34,134],"is":[35,43,87,109,122,136,181],"over-segmented":[36],"into":[37],"superpixels":[38,72],"and":[39,81,106,111,146,163],"plane":[42],"fitted":[44],"for":[45,93],"each":[46],"superpixel":[47],"an":[49],"improved":[50],"random":[51,77],"sample":[52],"consensus":[53],"(RANSAC).":[54],"We":[55],"design":[56],"two-layer":[58,120],"optimization":[59,121],"refine":[61],"plane.":[64],"global":[67],"optimization,":[68,99],"mean":[69,91],"disparities":[70,92],"are":[73],"estimated":[74],"Markov":[76],"field":[78],"(MRF)":[79],"inference,":[80],"then,":[82],"3D":[84,117],"neighborhood":[85],"system":[86],"derived":[88],"from":[89],"occlusion":[94,166],"handling.":[95],"local":[98],"probability":[101],"model":[102],"exploiting":[103],"Bayesian":[104,107],"inference":[105],"prediction":[108],"adopted":[110],"achieves":[112],"second-order":[113],"smoothness":[114],"implicitly":[115],"among":[116],"neighbors.":[118],"The":[119],"pure":[124],"because":[128],"no":[129],"correlation":[130],"information":[131],"between":[132],"pairs":[135],"demanded":[137],"during":[138],"refinement.":[140],"Experimental":[141],"results":[142],"on":[143],"Middlebury":[145],"KITTI":[147],"datasets":[148],"demonstrate":[149],"proposed":[152],"can":[154,169],"perform":[155],"accurate":[156,187],"matching":[158],"with":[159],"faster":[161],"speed":[162],"handle":[164],"effectively.":[167],"It":[168],"be":[170],"indicated":[171],"\"matching":[174],"cost":[175],"computation":[176],"+":[177],"refinement\"":[179],"framework":[180],"possible":[183],"solution":[184],"produce":[186],"at":[190],"low":[191],"computational":[192],"cost.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}