{"id":"https://openalex.org/W3007411644","doi":"https://doi.org/10.1145/3381271.3381295","title":"Robust stereo matching using improved ZNCC combined SAD-LBP","display_name":"Robust stereo matching using improved ZNCC combined SAD-LBP","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3007411644","doi":"https://doi.org/10.1145/3381271.3381295","mag":"3007411644"},"language":"en","primary_location":{"id":"doi:10.1145/3381271.3381295","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381271.3381295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Multimedia and Image Processing","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/A5102738966","display_name":"Jieqiong Chen","orcid":"https://orcid.org/0000-0003-1673-6517"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieqiong Chen","raw_affiliation_strings":["Fuzhou University, Fuzhou Fujian, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009439686","display_name":"Yousheng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yousheng Xia","raw_affiliation_strings":["Fuzhou University, Fuzhou Fujian, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102738966"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35870807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"146"},"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":0.9983000159263611,"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":0.9957000017166138,"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":0.8282623291015625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7283603549003601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6351550221443176},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.6060174107551575},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5618600845336914},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5569599866867065},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5256415605545044},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5078194737434387},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.48181357979774475},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4521127939224243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4341574013233185},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4211474657058716},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.41470232605934143},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.3396894335746765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3339638113975525},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28496742248535156}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8282623291015625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7283603549003601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351550221443176},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.6060174107551575},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5618600845336914},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5569599866867065},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5256415605545044},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5078194737434387},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.48181357979774475},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4521127939224243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4341574013233185},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4211474657058716},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.41470232605934143},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.3396894335746765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3339638113975525},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28496742248535156},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3381271.3381295","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381271.3381295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Multimedia and Image Processing","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":15,"referenced_works":["https://openalex.org/W1674866864","https://openalex.org/W1676314349","https://openalex.org/W1782560845","https://openalex.org/W2039051707","https://openalex.org/W2105466713","https://openalex.org/W2117248802","https://openalex.org/W2125188192","https://openalex.org/W2128357735","https://openalex.org/W2133255058","https://openalex.org/W2144041313","https://openalex.org/W2164117311","https://openalex.org/W2273612540","https://openalex.org/W2285516168","https://openalex.org/W2747917069","https://openalex.org/W2794181689"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2148428954","https://openalex.org/W2049095871","https://openalex.org/W4306194383"],"abstract_inverted_index":{"Stereo":[0],"matching":[1,26,80,102,167],"aims":[2],"to":[3,86,123,133,159],"obtain":[4],"depth":[5],"information":[6],"of":[7,21,42,53,116,121,131,145],"scene":[8],"from":[9],"captured":[10],"images,":[11],"which":[12,35,82],"becomes":[13],"an":[14],"active":[15],"research":[16],"topic":[17],"in":[18,48,57],"the":[19,37,51,54,58,113,126,143,146,153],"field":[20],"computer":[22],"vision.":[23],"Most":[24],"stereo":[25,79,101,166],"cost":[27,103],"algorithms":[28],"are":[29,45,62],"based":[30],"on":[31,137],"a":[32,71,77],"common":[33],"assumption,":[34],"is":[36,156],"intensity":[38],"or":[39],"color":[40,127],"value":[41],"corresponding":[43],"pixels":[44],"same.":[46],"However,":[47],"real-world":[49],"applications,":[50],"colors":[52],"objects":[55],"observed":[56],"recorded":[59],"image":[60],"data":[61,139],"affected":[63],"by":[64],"radiometric":[65],"variations.":[66],"In":[67],"this":[68],"paper,":[69],"using":[70],"novel":[72],"similarity":[73,130],"measure":[74],"we":[75,141],"propose":[76],"robust":[78,84,158],"method,":[81],"has":[83],"performance":[85],"noise,":[87],"illumination":[88,160],"condition":[89],"changes,":[90],"and":[91,96,112,128,162],"exposure":[92],"changes":[93,161],"between":[94],"left":[95],"right":[97],"images.":[98],"The":[99],"proposed":[100,147,154],"combines":[104],"improved":[105],"zero":[106],"mean":[107],"normalized":[108],"cross-correlation":[109],"(ZNCC)":[110],"model":[111],"absolute":[114],"difference":[115],"local":[117],"binary":[118],"pattern":[119],"(LBP)":[120],"windows":[122,132],"get":[124],"both":[125],"texture":[129],"be":[134],"matched.":[135],"Based":[136],"Middleburry":[138],"set,":[140],"verify":[142],"effectiveness":[144],"algorithm.":[148],"Computed":[149],"results":[150],"show":[151],"that":[152],"algorithm":[155],"more":[157],"noise":[163],"than":[164],"related":[165],"algorithms.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}