{"id":"https://openalex.org/W2159792333","doi":"https://doi.org/10.1109/siu.2012.6204497","title":"Reliability based graph-cuts algorithm for stereo","display_name":"Reliability based graph-cuts algorithm for stereo","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2159792333","doi":"https://doi.org/10.1109/siu.2012.6204497","mag":"2159792333"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2012.6204497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","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/A5012052276","display_name":"Ula\u015f Vural","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ulas Vural","raw_affiliation_strings":["GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006148905","display_name":"Abdullah Akay","orcid":"https://orcid.org/0000-0002-8818-5075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdullah Akay","raw_affiliation_strings":["GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076768060","display_name":"Yusuf Sinan Akg\u00fcl","orcid":"https://orcid.org/0000-0001-8501-4812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuf Sinan Akgul","raw_affiliation_strings":["GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GYTE Bilgisayarla G\u00f6rme Laboratuar\u0131, Bilgisayar M\u00fchendisli\u011fi, Gebze Y\u00fcksek Teknoloji Enstit\u00fcs\u00fc, Gebze, Kocaeli, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18031974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.686380922794342},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.658051073551178},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.6409828662872314},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5952297449111938},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5952221155166626},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5550596117973328},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5065866708755493},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45164769887924194},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4446500241756439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39565420150756836},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21735942363739014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1906089186668396},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.1552562415599823},{"id":"https://openalex.org/keywords/planar-graph","display_name":"Planar graph","score":0.12253984808921814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686380922794342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.658051073551178},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.6409828662872314},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5952297449111938},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5952221155166626},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5550596117973328},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5065866708755493},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45164769887924194},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4446500241756439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39565420150756836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21735942363739014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1906089186668396},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1552562415599823},{"id":"https://openalex.org/C101837359","wikidata":"https://www.wikidata.org/wiki/Q547823","display_name":"Planar graph","level":3,"score":0.12253984808921814},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2012.6204497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1548335830","https://openalex.org/W1781337833","https://openalex.org/W1907897951","https://openalex.org/W2066050308","https://openalex.org/W2101309634","https://openalex.org/W2104974755","https://openalex.org/W2113137767","https://openalex.org/W2121781154","https://openalex.org/W2143516773","https://openalex.org/W2911709767","https://openalex.org/W6638137768","https://openalex.org/W6639750263"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2352553236","https://openalex.org/W1522006748","https://openalex.org/W4212786251","https://openalex.org/W2516172929","https://openalex.org/W2057144288","https://openalex.org/W2963937989","https://openalex.org/W2368283335","https://openalex.org/W2159792333","https://openalex.org/W3044124265"],"abstract_inverted_index":{"Energy":[0],"functions":[1],"that":[2,86],"are":[3,8,22],"used":[4],"in":[5,19,81],"stereo":[6,47,143,153],"problem,":[7],"still":[9],"far":[10],"from":[11,131],"modeling":[12],"the":[13,20,36,46,100,106,112,118,129,151,160,167],"real":[14],"world.":[15],"The":[16,95],"energy":[17,68],"terms":[18,40],"models":[21],"not":[23],"successful":[24],"on":[25,137,142],"all":[26],"image":[27,107,139],"regions":[28],"and":[29,53,80,102,121,141,155],"it":[30,122],"is":[31,75],"very":[32,77],"difficult":[33],"to":[34,61],"adjust":[35],"weights":[37],"of":[38,105,114],"these":[39],"automatically.":[41],"An":[42],"exact":[43],"model":[44],"for":[45],"problem":[48],"will":[49],"be":[50],"too":[51],"complex":[52],"intractable.":[54],"Therefore,":[55],"we":[56,84],"need":[57],"some":[58],"extra":[59],"information":[60,79,130],"achieve":[62,156],"better":[63,157],"results":[64,158],"while":[65],"using":[66,128],"basic":[67],"models.":[69],"Knowing":[70],"where":[71],"a":[72,76],"method":[73,97],"fails":[74],"important":[78],"this":[82,93],"paper,":[83],"show":[85],"graph-cuts":[87],"based":[88,169],"dual-mesh":[89,170],"framework":[90],"can":[91,98],"provide":[92],"information.":[94],"proposed":[96],"mark":[99],"reliable":[101,119,132],"unreliable":[103,115,124],"parts":[104,116,120,125],"regions.":[108],"It":[109],"then":[110],"blocks":[111],"effect":[113],"over":[117],"repairs":[123],"iteratively":[126],"by":[127],"parts.We":[133],"tested":[134],"our":[135,148],"algorithm":[136,149,163],"Middlebury":[138],"dataset":[140],"X-ray":[144],"images.":[145],"We":[146],"compare":[147],"with":[150],"other":[152],"algorithms":[154],"than":[159],"base":[161],"graph-cut":[162,168],"as":[164,166],"well":[165],"algorithm.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}