{"id":"https://openalex.org/W3012583264","doi":"https://doi.org/10.1155/2020/8562323","title":"Review of Stereo Matching Algorithms Based on Deep Learning","display_name":"Review of Stereo Matching Algorithms Based on Deep Learning","publication_year":2020,"publication_date":"2020-03-23","ids":{"openalex":"https://openalex.org/W3012583264","doi":"https://doi.org/10.1155/2020/8562323","mag":"3012583264","pmid":"https://pubmed.ncbi.nlm.nih.gov/32273887"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8562323","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8562323","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8562323.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2020/8562323.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103105756","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0002-7589-450X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhou","raw_affiliation_strings":["School of Mathematics Science, Peking University, Beijing, China","Suzhou Automotive Research Institute, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7589-450X","affiliations":[{"raw_affiliation_string":"School of Mathematics Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Suzhou Automotive Research Institute, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062821495","display_name":"Xiangxi Meng","orcid":"https://orcid.org/0000-0002-6590-011X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxi Meng","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640934","display_name":"Bo Cheng","orcid":"https://orcid.org/0000-0001-5114-3771"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Cheng","raw_affiliation_strings":["Su Zhou Automobile Research Institute, Suzhou, Jiangsu, China","Suzhou Automotive Research Institute, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5114-3771","affiliations":[{"raw_affiliation_string":"Su Zhou Automobile Research Institute, Suzhou, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"Suzhou Automotive Research Institute, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100640934"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":4.6913,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.96,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"12"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.7675491571426392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.732079803943634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6495519280433655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6219724416732788},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6024974584579468},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5871320962905884},{"id":"https://openalex.org/keywords/flourishing","display_name":"Flourishing","score":0.5472247004508972},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5215727686882019},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4620790481567383},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4538004994392395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09201890230178833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675491571426392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.732079803943634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6495519280433655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6219724416732788},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6024974584579468},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5871320962905884},{"id":"https://openalex.org/C2781017355","wikidata":"https://www.wikidata.org/wiki/Q5462027","display_name":"Flourishing","level":2,"score":0.5472247004508972},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5215727686882019},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4620790481567383},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4538004994392395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09201890230178833},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2020/8562323","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8562323","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8562323.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:32273887","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32273887","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:558c329299414e41a9dacaa8c48a3fc1","is_oa":false,"landing_page_url":"https://doaj.org/article/558c329299414e41a9dacaa8c48a3fc1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6083842","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7125450","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2020/8562323","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8562323","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8562323.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3012583264.pdf","grobid_xml":"https://content.openalex.org/works/W3012583264.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2055467580","https://openalex.org/W2104974755","https://openalex.org/W2117248802","https://openalex.org/W2142714012","https://openalex.org/W2208592848","https://openalex.org/W2254462240","https://openalex.org/W2300779272","https://openalex.org/W2308516304","https://openalex.org/W2336968928","https://openalex.org/W2507953016","https://openalex.org/W2560788656","https://openalex.org/W2593785507","https://openalex.org/W2605436280","https://openalex.org/W2728277730","https://openalex.org/W2898205719","https://openalex.org/W2900615949","https://openalex.org/W2914664021","https://openalex.org/W2963726609","https://openalex.org/W3105975204"],"related_works":["https://openalex.org/W2486520398","https://openalex.org/W4309425289","https://openalex.org/W3164205916","https://openalex.org/W4387896619","https://openalex.org/W4399514806","https://openalex.org/W2019726421","https://openalex.org/W2133664263","https://openalex.org/W4405377976","https://openalex.org/W4220926404","https://openalex.org/W3123344745"],"abstract_inverted_index":{"Stereo":[0],"vision":[1],"is":[2],"a":[3,70],"flourishing":[4],"field,":[5],"attracting":[6],"the":[7,15,49,74,82,99],"attention":[8],"of":[9,17,36,73],"many":[10],"researchers.":[11],"Recently,":[12],"leveraging":[13],"on":[14,42],"development":[16],"deep":[18,43],"learning,":[19],"stereo":[20,38],"matching":[21,39],"algorithms":[22,40,50],"have":[23,68],"achieved":[24],"remarkable":[25,75],"performance":[26],"far":[27],"exceeding":[28],"traditional":[29],"approaches.":[30],"This":[31],"review":[32],"presents":[33],"an":[34],"overview":[35],"different":[37,100],"based":[41],"learning.":[44],"For":[45],"convenience,":[46],"we":[47],"classified":[48],"into":[51],"three":[52],"categories:":[53],"(1)":[54],"non-end-to-end":[55],"learning":[56,60,65],"algorithms,":[57,61],"(2)":[58],"end-to-end":[59],"and":[62,80,85,92],"(3)":[63],"unsupervised":[64],"algorithms.":[66,101],"We":[67],"provided":[69],"comprehensive":[71],"coverage":[72],"approaches":[76],"in":[77],"each":[78],"category":[79],"summarized":[81],"strengths,":[83],"weaknesses,":[84],"major":[86],"challenges,":[87],"respectively.":[88],"The":[89],"speed,":[90],"accuracy,":[91],"time":[93],"consumption":[94],"were":[95],"adopted":[96],"to":[97],"compare":[98]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}