{"id":"https://openalex.org/W2332127965","doi":"https://doi.org/10.1109/siu.2015.7130335","title":"Sparse recursive cost aggregation towards O(1) complexity local stereo matching","display_name":"Sparse recursive cost aggregation towards O(1) complexity local stereo matching","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2332127965","doi":"https://doi.org/10.1109/siu.2015.7130335","mag":"2332127965"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd 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/A5088907027","display_name":"Yeti Z. G\u00fcrb\u00fcz","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Yeti Ziya Gurbuz","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070112256","display_name":"A. Ayd\u0131n Alatan","orcid":"https://orcid.org/0000-0001-5556-7301"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Aydin Alatan","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Orta Do\u011fu Teknik \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028499978","display_name":"Cevahir \u00c7\u0131\u011fla","orcid":"https://orcid.org/0000-0003-3246-3176"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cevahir Cigla","raw_affiliation_strings":["Savunma Sistem Teknolojileri Grup Ba\u015fkanl\u0131\u011f\u0131, ASELSAN A.\u015e, Ankara, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Savunma Sistem Teknolojileri Grup Ba\u015fkanl\u0131\u011f\u0131, ASELSAN A.\u015e, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088907027"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.7487,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80659038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"47","issue":null,"first_page":"2290","last_page":"2293"},"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":0.9969000220298767,"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":0.9962999820709229,"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/benchmarking","display_name":"Benchmarking","score":0.7009585499763489},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6666144132614136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404792666435242},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6041920781135559},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.576928436756134},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4730842709541321},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4672774076461792},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4593392610549927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41712379455566406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41495072841644287},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33403676748275757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3324255347251892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2901131808757782}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7009585499763489},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6666144132614136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404792666435242},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6041920781135559},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.576928436756134},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4730842709541321},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4672774076461792},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4593392610549927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41712379455566406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41495072841644287},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33403676748275757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3324255347251892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2901131808757782},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2015.7130335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/53548","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/53548","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W168460524","https://openalex.org/W1674866864","https://openalex.org/W1964057156","https://openalex.org/W1997820370","https://openalex.org/W2000083214","https://openalex.org/W2019904315","https://openalex.org/W2062426340","https://openalex.org/W2104974755","https://openalex.org/W2105867397","https://openalex.org/W2106056960","https://openalex.org/W2123782500","https://openalex.org/W2125186487","https://openalex.org/W2128357735","https://openalex.org/W2136954119","https://openalex.org/W2148534289","https://openalex.org/W2150737612","https://openalex.org/W3040777582","https://openalex.org/W6606877702"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"The":[0,89,130],"complexity":[1,23,44,140],"of":[2,20,32,36,73,105,114],"the":[3,21,33,37,40,43,55,70,74,115,119,135,142,153,167,170,175],"local":[4],"stereo":[5,97],"matching":[6,98,163],"methods":[7,38],"mainly":[8],"increases":[9],"with":[10,127,141,159,178],"disparity":[11,56,106],"search":[12,57,116],"range":[13,58],"and":[14,53,118,145],"cost":[15,63,87,120],"aggregation":[16,64,121],"step.":[17],"Joint":[18],"elimination":[19],"those":[22],"factors":[24],"is":[25,51,66,92,125,173],"a":[26,30,95,179],"challenging":[27],"task":[28],"as":[29],"consequence":[31],"contradicting":[34],"nature":[35],"attacking":[39],"reduction":[41],"on":[42,183],"factors.":[45],"In":[46,100],"this":[47],"paper,":[48],"that":[49,101,134,147],"challenge":[50],"addressed":[52],"for":[54,86,110,122],"reducing":[59],"approaches,":[60],"an":[61],"efficient":[62,84],"method":[65,91,172],"proposed":[67,90,136,171],"by":[68,94],"reformulating":[69],"filtering":[71],"scheme":[72],"recursive":[75,154],"edge-aware":[76],"filters":[77],"which":[78],"have":[79],"been":[80],"proved":[81],"to":[82,166],"be":[83],"approaches":[85,155],"aggregation.":[88],"exploited":[93],"hierarchical":[96],"approach.":[99],"manner,":[102],"fixed":[103],"number":[104],"candidates":[107],"are":[108],"tested":[109],"each":[111,123],"pixel,":[112],"regardless":[113],"space":[117],"candidate":[124],"performed":[126],"constant":[128],"complexity.":[129],"experimental":[131],"results":[132],"validate":[133],"approach":[137,177],"has":[138],"linear":[139],"image":[143],"size":[144],"show":[146],"in":[148,162],"practice":[149],"it":[150],"speeds":[151],"up":[152],"almost":[156],"four":[157],"times":[158],"0.01-0.96%":[160],"decrease":[161],"accuracy.":[164],"Compared":[165],"state-of-the-art":[168],"techniques,":[169],"possibly":[174],"fastest":[176],"competitive":[180],"accuracy":[181],"based":[182],"Middlebury":[184],"benchmarking.":[185]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
