{"id":"https://openalex.org/W2043995526","doi":"https://doi.org/10.1109/vcip.2013.6706415","title":"Effective stereo matching using reliable points based graph cut","display_name":"Effective stereo matching using reliable points based graph cut","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2043995526","doi":"https://doi.org/10.1109/vcip.2013.6706415","mag":"2043995526"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028229824","display_name":"Haoqian Wang","orcid":"https://orcid.org/0000-0003-2792-8469"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Hao-qian Wang","raw_affiliation_strings":["Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014439","display_name":"Mian Wu","orcid":"https://orcid.org/0000-0001-9643-7685"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Mian Wu","raw_affiliation_strings":["Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015212999","display_name":"Yongbing Zhang","orcid":"https://orcid.org/0000-0003-3283-2605"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Yong-bing Zhang","raw_affiliation_strings":["Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434028","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-2343-084X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Lei Zhang","raw_affiliation_strings":["Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Broadband Network & Multimedia, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0394,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79869438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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":0.9943000078201294,"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/computation","display_name":"Computation","score":0.5993852615356445},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.59147047996521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590272068977356},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5609451532363892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5033783316612244},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4960876405239105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.488667756319046},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4121948480606079},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.35766327381134033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34526047110557556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3226608335971832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26408326625823975},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.13553762435913086},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13073939085006714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0717824399471283}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5993852615356445},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.59147047996521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590272068977356},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5609451532363892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5033783316612244},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4960876405239105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.488667756319046},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4121948480606079},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35766327381134033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34526047110557556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3226608335971832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26408326625823975},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.13553762435913086},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13073939085006714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0717824399471283},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","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":19,"referenced_works":["https://openalex.org/W1520110625","https://openalex.org/W1604112931","https://openalex.org/W1964057156","https://openalex.org/W1989291440","https://openalex.org/W1996126470","https://openalex.org/W2014345353","https://openalex.org/W2059212813","https://openalex.org/W2083514178","https://openalex.org/W2093117706","https://openalex.org/W2097368509","https://openalex.org/W2099646760","https://openalex.org/W2104974755","https://openalex.org/W2106690162","https://openalex.org/W2112421488","https://openalex.org/W2123360861","https://openalex.org/W2123782500","https://openalex.org/W2143516773","https://openalex.org/W2156226240","https://openalex.org/W2165949176"],"related_works":["https://openalex.org/W2104974755","https://openalex.org/W2025579168","https://openalex.org/W2366561711","https://openalex.org/W2076139799","https://openalex.org/W2836527984","https://openalex.org/W1974479002","https://openalex.org/W2782525812","https://openalex.org/W2728516565","https://openalex.org/W2058478600","https://openalex.org/W2037476016","https://openalex.org/W2790527898","https://openalex.org/W2400033168","https://openalex.org/W2797215706","https://openalex.org/W1511016087","https://openalex.org/W3029383513","https://openalex.org/W2792734991","https://openalex.org/W2371978154","https://openalex.org/W2551829543","https://openalex.org/W2889471927","https://openalex.org/W3172692034"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"effective":[6],"stereo":[7],"matching":[8,106],"algorithm":[9,95],"using":[10],"reliable":[11,60],"points":[12,31,61],"and":[13,40,103],"region-based":[14,65],"graph":[15,66],"cut.":[16],"Firstly,":[17],"the":[18,29,36,41,57,71,78,93],"initial":[19,72],"disparity":[20,43,79],"maps":[21],"are":[22,32,49,81],"calculated":[23],"via":[24],"local":[25],"windowbased":[26],"method.":[27],"Secondly,":[28],"unreliable":[30,47],"detected":[33],"according":[34],"to":[35,69],"DSI(Disparity":[37],"Space":[38],"Image)":[39],"estimated":[42],"values":[44],"of":[45,59],"each":[46],"point":[48],"obtained":[50],"by":[51],"considering":[52],"its":[53],"surrounding":[54],"points.":[55],"Then,":[56],"scheme":[58],"is":[62],"introduced":[63],"in":[64,77,84,100],"cut":[67],"framework":[68],"optimize":[70],"result.":[73],"Finally,":[74],"remaining":[75],"errors":[76],"results":[80,90],"effectively":[82],"handled":[83],"a":[85,97],"multi-step":[86],"refinement":[87],"process.":[88],"Experiment":[89],"show":[91],"that":[92],"proposed":[94],"achieves":[96],"significant":[98],"reduction":[99],"computation":[101],"cost":[102],"guarantee":[104],"high":[105],"quality.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}