{"id":"https://openalex.org/W2083478619","doi":"https://doi.org/10.1109/rivf.2009.5174612","title":"A Robust Stereo Matching Method for Low Texture Stereo Images","display_name":"A Robust Stereo Matching Method for Low Texture Stereo Images","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2083478619","doi":"https://doi.org/10.1109/rivf.2009.5174612","mag":"2083478619"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2009.5174612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","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/A5000010821","display_name":"Le Thanh Sach","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Le Thanh Sach","raw_affiliation_strings":["Department of Information Media Technology, Tokai University, Japan","Dept. of Inf. Media Technol., Tokai Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Media Technology, Tokai University, Japan","institution_ids":["https://openalex.org/I1314466530"]},{"raw_affiliation_string":"Dept. of Inf. Media Technol., Tokai Univ., Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109252674","display_name":"Kiyoaki Atsuta","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoaki Atsuta","raw_affiliation_strings":["Department of Information Media Technology, Tokai University, Japan","Dept. of Inf. Media Technol., Tokai Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Media Technology, Tokai University, Japan","institution_ids":["https://openalex.org/I1314466530"]},{"raw_affiliation_string":"Dept. of Inf. Media Technol., Tokai Univ., Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039959559","display_name":"Kazuhiko Hamamoto","orcid":"https://orcid.org/0000-0003-2454-3512"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiko Hamamoto","raw_affiliation_strings":["Department of Information Media Technology, Tokai University, Japan","Dept. of Inf. Media Technol., Tokai Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Media Technology, Tokai University, Japan","institution_ids":["https://openalex.org/I1314466530"]},{"raw_affiliation_string":"Dept. of Inf. Media Technol., Tokai Univ., Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112044151","display_name":"Shozo Kondo","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shozo Kondo","raw_affiliation_strings":["Department of Information Media Technology, Tokai University, Japan","Dept. of Inf. Media Technol., Tokai Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Media Technology, Tokai University, Japan","institution_ids":["https://openalex.org/I1314466530"]},{"raw_affiliation_string":"Dept. of Inf. Media Technol., Tokai Univ., Japan","institution_ids":["https://openalex.org/I1314466530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000010821"],"corresponding_institution_ids":["https://openalex.org/I1314466530"],"apc_list":null,"apc_paid":null,"fwci":0.9707,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77589548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9991000294685364,"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":0.9973000288009644,"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":0.7888110876083374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7289329767227173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633774638175964},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.6088094115257263},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5908301472663879},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5494769811630249},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5336267352104187},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.49448466300964355},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.477842777967453},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.43114370107650757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4227059483528137},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.41431185603141785},{"id":"https://openalex.org/keywords/stereo-image","display_name":"Stereo image","score":0.41288405656814575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39557531476020813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3053881525993347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.23874616622924805}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7888110876083374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7289329767227173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633774638175964},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.6088094115257263},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5908301472663879},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5494769811630249},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5336267352104187},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.49448466300964355},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.477842777967453},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.43114370107650757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4227059483528137},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41431185603141785},{"id":"https://openalex.org/C2987632653","wikidata":"https://www.wikidata.org/wiki/Q7611220","display_name":"Stereo image","level":3,"score":0.41288405656814575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39557531476020813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3053881525993347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.23874616622924805},{"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:10.1109/rivf.2009.5174612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","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":22,"referenced_works":["https://openalex.org/W1924453835","https://openalex.org/W1963717309","https://openalex.org/W1968934049","https://openalex.org/W1989917278","https://openalex.org/W2054536235","https://openalex.org/W2104974755","https://openalex.org/W2113163629","https://openalex.org/W2131810460","https://openalex.org/W2140311634","https://openalex.org/W2142926575","https://openalex.org/W2150802895","https://openalex.org/W2152949245","https://openalex.org/W2157117066","https://openalex.org/W2164650033","https://openalex.org/W2169903983","https://openalex.org/W2170772499","https://openalex.org/W2519487405","https://openalex.org/W3140813637","https://openalex.org/W4234809514","https://openalex.org/W6682329068","https://openalex.org/W6683040217","https://openalex.org/W6726746065"],"related_works":["https://openalex.org/W307265996","https://openalex.org/W1992486622","https://openalex.org/W2905493506","https://openalex.org/W2949709491","https://openalex.org/W1970863638","https://openalex.org/W2158260517","https://openalex.org/W1507849405","https://openalex.org/W128884630","https://openalex.org/W2391245565","https://openalex.org/W2106933740"],"abstract_inverted_index":{"Computing":[0],"disparity":[1],"images":[2,9,190],"for":[3,88,186],"stereo":[4,23,86,91,103,112,165,189],"pairs":[5,24,104],"of":[6,21,39,67,125,131,138,159,178,183],"low":[7,18,89,187],"texture":[8,19,90,188],"is":[10,81,142],"a":[11,77,163,175,180],"challenging":[12],"task":[13],"because":[14,51],"matching":[15,87],"costs":[16],"inside":[17],"areas":[20],"the":[22,37,63,97,102,107,118,123,135,139,145,150,170,192],"are":[25,72],"almost":[26],"similar.":[27],"This":[28],"problem":[29],"can":[30,121,173],"not":[31],"be":[32],"solved":[33],"straightforwardly":[34],"by":[35,43],"increasing":[36],"size":[38],"aggregation":[40,109,132,153],"windows":[41],"or":[42],"using":[44,115,126],"global":[45],"optimization":[46],"methods,":[47],"e.g.":[48],"dynamic":[49],"programming,":[50],"those":[52],"approaches":[53],"will":[54],"smooth":[55],"depth":[56],"discontinued":[57],"boundaries":[58],"as":[59],"well.":[60],"Based":[61],"on":[62],"assumption":[64],"that":[65,80,169],"disparities":[66,185],"pixels":[68],"in":[69,111],"homogeneous":[70],"regions":[71],"similar,":[73],"this":[74],"paper":[75],"proposes":[76],"new":[78],"method":[79,95,120,141,172],"able":[82],"to":[83,105,149],"robustly":[84],"perform":[85],"images.":[92],"The":[93],"proposed":[94,119,140,171],"utilizes":[96],"edge":[98,116],"maps":[99],"computed":[100],"from":[101,144,157],"guide":[106],"cost":[108],"process":[110],"matching.":[113],"By":[114],"maps,":[117],"achieve":[122],"effect":[124],"different":[127],"shapes":[128],"and":[129,162,179],"sizes":[130],"windows.":[133],"Moreover,":[134],"computational":[136],"complexity":[137],"independent":[143],"window":[146],"size,":[147],"similar":[148],"moving":[151,193],"average":[152,194],"method.":[154,195],"Experimental":[155],"results":[156],"both":[158],"an":[160],"artificial":[161],"real":[164],"image":[166],"sequence":[167],"demonstrate":[168],"produce":[174],"larger":[176],"number":[177],"better":[181],"accuracy":[182],"reliable":[184],"than":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
