{"id":"https://openalex.org/W3091789579","doi":"https://doi.org/10.3233/jifs-201749","title":"Hilbert stereo reconstruction algorithm based on depth feature and stereo matching","display_name":"Hilbert stereo reconstruction algorithm based on depth feature and stereo matching","publication_year":2020,"publication_date":"2020-10-06","ids":{"openalex":"https://openalex.org/W3091789579","doi":"https://doi.org/10.3233/jifs-201749","mag":"3091789579"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201749","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201749","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5000645671","display_name":"Weiyi Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiyi Kong","raw_affiliation_strings":["Electrical Information Engineering, Southwest Minzu University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Information Engineering, Southwest Minzu University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069433780","display_name":"Menglong Yang","orcid":"https://orcid.org/0000-0003-0948-6847"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglong Yang","raw_affiliation_strings":["Aeronautics and Astronauticst, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics and Astronauticst, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059048105","display_name":"Qinzhen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinzhen Huang","raw_affiliation_strings":["Electrical Information Engineering, Southwest Minzu University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Information Engineering, Southwest Minzu University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I6645349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000645671"],"corresponding_institution_ids":["https://openalex.org/I6645349"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41406263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":"5","first_page":"8027","last_page":"8038"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9975000023841858,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9912999868392944,"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":0.5996854901313782},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5972057580947876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5736767649650574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5714312195777893},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5360894799232483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4895702302455902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4694361686706543},{"id":"https://openalex.org/keywords/hilbert-curve","display_name":"Hilbert curve","score":0.449266642332077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4475628733634949},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.4187886118888855},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.4164489805698395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.415367066860199},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41266608238220215}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996854901313782},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5972057580947876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5736767649650574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5714312195777893},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5360894799232483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4895702302455902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4694361686706543},{"id":"https://openalex.org/C2781142347","wikidata":"https://www.wikidata.org/wiki/Q1366592","display_name":"Hilbert curve","level":2,"score":0.449266642332077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4475628733634949},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.4187886118888855},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.4164489805698395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.415367066860199},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41266608238220215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-201749","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201749","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981765608","https://openalex.org/W2006943762","https://openalex.org/W2068438324","https://openalex.org/W2069607360","https://openalex.org/W2115579991","https://openalex.org/W2136181517","https://openalex.org/W2200206255","https://openalex.org/W2208592848","https://openalex.org/W2618786344","https://openalex.org/W2766213449","https://openalex.org/W2795158114","https://openalex.org/W2801378207","https://openalex.org/W2956155297","https://openalex.org/W2963267652","https://openalex.org/W2974538082","https://openalex.org/W3032940147"],"related_works":["https://openalex.org/W113585334","https://openalex.org/W2067745193","https://openalex.org/W4306194383","https://openalex.org/W4306249900","https://openalex.org/W2007987780","https://openalex.org/W1530739027","https://openalex.org/W4304776306","https://openalex.org/W4226053486","https://openalex.org/W1992486622","https://openalex.org/W307265996"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"Hilbert":[4,26,65,93,98,114,125,154,159],"stereo":[5,13,27,31,78,132,160,177],"reconstruction":[6,57],"algorithm":[7,162],"based":[8],"on":[9,138,166],"depth":[10,90,106,149],"feature":[11,91,150],"and":[12,54,73,97,123,153,171,187],"matching":[14,22,53,80,133,161],"to":[15,36,40,127],"solve":[16],"the":[17,25,41,50,64,71,76,109,129,139,142,148,158],"problem":[18],"of":[19,43,59,104,108],"occlusive":[20],"region":[21],"errors,":[23],"namely,":[24,89],"network.":[28],"The":[29],"traditional":[30],"network":[32,48,85,183],"pays":[33],"more":[34],"attention":[35],"disparity":[37,44,52,61,79,119],"itself,":[38],"leading":[39],"inaccuracy":[42],"estimation.":[45],"Our":[46,84],"design":[47],"studies":[49],"effective":[51],"refinement":[55,99],"through":[56,113],"representation":[58],"Hilbert\u2019s":[60],"coefficient.":[62],"Since":[63],"coefficient":[66,155],"is":[67,144,172],"not":[68],"affected":[69],"by":[70,146],"occlusion":[72],"texture":[74,102],"in":[75],"image,":[77],"can":[81],"conducted":[82],"effectively.":[83],"includes":[86],"three":[87],"sub-modules,":[88],"representation,":[92],"cost":[94],"volume":[95],"fusion,":[96],"reconstruction.":[100],"Separately,":[101],"features":[103],"different":[105],"levels":[107],"image":[110],"were":[111],"extracted":[112],"filtering":[115],"operation.":[116],"Next,":[117],"stereoscopic":[118],"fusion":[120],"was":[121,135],"performed,":[122],"then":[124],"designed":[126],"refine":[128],"difference":[130],"regression":[131],"solution":[134],"used.":[136],"Based":[137],"end-to-end":[140],"design,":[141],"structure":[143],"refined":[145],"combining":[147],"extraction":[151],"module":[152],"disparity.":[156],"Finally,":[157],"achieves":[163],"excellent":[164],"performance":[165],"standard":[167],"big":[168],"data":[169],"set":[170],"compared":[173],"with":[174],"other":[175],"advanced":[176],"networks.":[178],"Experiments":[179],"show":[180],"that":[181],"our":[182],"has":[184],"high":[185,188],"accuracy":[186],"performance.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}