{"id":"https://openalex.org/W2508043436","doi":"https://doi.org/10.1109/ivs.2016.7535407","title":"Improving stereo reconstruction by sub-pixel correction using histogram matching","display_name":"Improving stereo reconstruction by sub-pixel correction using histogram matching","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2508043436","doi":"https://doi.org/10.1109/ivs.2016.7535407","mag":"2508043436"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5042712140","display_name":"Cristian Vancea","orcid":"https://orcid.org/0000-0003-0270-1962"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cristian-Cosmin Vancea","raw_affiliation_strings":["Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079231009","display_name":"Vlad\u2013Cristian Miclea","orcid":"https://orcid.org/0000-0002-5781-5433"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Vlad-Cristian Miclea","raw_affiliation_strings":["Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.6629,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76810686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":null,"first_page":"335","last_page":"341"},"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":0.9987000226974487,"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":0.9958000183105469,"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/histogram","display_name":"Histogram","score":0.8287696838378906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7442032694816589},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7423095703125},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.7147044539451599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7026962041854858},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6992724537849426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799644827842712},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5746721625328064},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45585712790489197},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.44258004426956177},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4169667959213257},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40662288665771484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3692058026790619},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3552948236465454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24314001202583313}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8287696838378906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7442032694816589},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7423095703125},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.7147044539451599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7026962041854858},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6992724537849426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799644827842712},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5746721625328064},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45585712790489197},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.44258004426956177},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4169667959213257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40662288665771484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3692058026790619},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3552948236465454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24314001202583313},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W42608200","https://openalex.org/W63091017","https://openalex.org/W1517470347","https://openalex.org/W1674866864","https://openalex.org/W1922120546","https://openalex.org/W1964057156","https://openalex.org/W1968991518","https://openalex.org/W1973882860","https://openalex.org/W1995317215","https://openalex.org/W1995386731","https://openalex.org/W1998910452","https://openalex.org/W2014888258","https://openalex.org/W2063404224","https://openalex.org/W2068620284","https://openalex.org/W2104974755","https://openalex.org/W2107740438","https://openalex.org/W2109648077","https://openalex.org/W2117248802","https://openalex.org/W2118877769","https://openalex.org/W2121322439","https://openalex.org/W2122248324","https://openalex.org/W2135583584","https://openalex.org/W2140836349","https://openalex.org/W2150066425","https://openalex.org/W6641243840","https://openalex.org/W6667563284","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W2247097764","https://openalex.org/W1998334300","https://openalex.org/W2110241600","https://openalex.org/W2066185872","https://openalex.org/W2375849557","https://openalex.org/W2109325523","https://openalex.org/W2146297113","https://openalex.org/W2324508068","https://openalex.org/W2141966243"],"abstract_inverted_index":{"The":[0,135,172],"accuracy":[1,164],"of":[2,8,18,85,132,165,185],"stereo":[3,192,196],"matching":[4,43,81,115,123,174,193],"algorithms":[5,28,124],"is":[6,92],"one":[7],"the":[9,42,46,83,104,110,113,163,190,195,202],"key":[10],"aspects":[11],"in":[12,29,103,177],"autonomous":[13],"driving":[14],"nowadays.":[15],"In":[16],"case":[17],"large":[19],"distances,":[20],"sub-pixel":[21,47,73],"accurate":[22,98],"solutions":[23,102,167],"are":[24,53,64],"required,":[25],"especially":[26],"for":[27,129],"discrete":[30,105],"settings.":[31],"It":[32],"has":[33],"been":[34],"previously":[35],"shown":[36],"that":[37,125,156,161],"a":[38,71,182,186],"strong":[39],"correlation":[40],"between":[41],"algorithm":[44],"and":[45,51,66,95,143,153,179,194],"interpolation":[48],"method":[49,91,137],"exists,":[50],"there":[52],"ways":[54],"to":[55,121,189],"determine":[56],"it.":[57],"Unfortunately":[58],"all":[59,169],"methodologies":[60],"presented":[61],"so":[62],"far":[63],"laborious":[65],"time-consuming.":[67],"We":[68],"present":[69],"here":[70],"novel":[72],"disparity":[74],"correction":[75],"technique":[76],"based":[77],"on":[78,140,168,201],"applying":[79],"histogram":[80,173],"through":[82],"use":[84],"generated":[86],"Look-up":[87],"Tables":[88],"(LUTs).":[89],"Our":[90],"flexible,":[93],"fast":[94],"produces":[96],"more":[97],"results":[99,180],"than":[100],"previous":[101,166],"domain.":[106],"Although":[107],"we":[108,154,157],"show":[109,155],"improvements":[111],"over":[112],"Semi-Global":[114],"algorithm,":[116],"it":[117],"can":[118,158],"be":[119],"adapted":[120],"other":[122],"preserve":[126],"constant":[127],"misalignment":[128],"any":[130],"kind":[131],"3D":[133],"scenarios.":[134],"proposed":[136],"was":[138],"tested":[139],"multiple":[141],"systems":[142],"datasets":[144],"(Synthetic":[145],"images,":[146,150],"Traffic":[147],"scenes,":[148],"Middlebury":[149],"KITTI":[151],"images)":[152],"find":[159],"LUTs":[160],"outperform":[162],"these":[170],"sets.":[171],"procedure":[175],"lacks":[176],"complexity":[178],"indicate":[181],"strict":[183],"dependency":[184],"particular":[187],"LUT":[188],"underlying":[191],"vision":[197],"system,":[198],"but":[199],"not":[200],"image":[203],"composition.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
