{"id":"https://openalex.org/W2064834822","doi":"https://doi.org/10.1109/lsp.2014.2369211","title":"Bi-DCT: DCT-based Local Binary Descriptor for Dense Stereo Matching","display_name":"Bi-DCT: DCT-based Local Binary Descriptor for Dense Stereo Matching","publication_year":2014,"publication_date":"2014-11-10","ids":{"openalex":"https://openalex.org/W2064834822","doi":"https://doi.org/10.1109/lsp.2014.2369211","mag":"2064834822"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2369211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2369211","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5100774389","display_name":"Sujung Kim","orcid":"https://orcid.org/0000-0002-7455-2866"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sujung Kim","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","Department of Electrical Engineering KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Department of Electrical Engineering KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068029241","display_name":"Kyunghyun Paeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyunghyun Paeng","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","Department of Electrical Engineering KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Department of Electrical Engineering KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011633284","display_name":"Ja-Won Seo","orcid":"https://orcid.org/0000-0002-4073-0484"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ja-Won Seo","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","Department of Electrical Engineering KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Department of Electrical Engineering KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043762193","display_name":"Seong Dae Kim","orcid":"https://orcid.org/0000-0001-8077-2403"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong Dae Kim","raw_affiliation_strings":["Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","Department of Electrical Engineering KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Department of Electrical Engineering KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100774389"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83393426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"7","first_page":"847","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/discriminative-model","display_name":"Discriminative model","score":0.7600290179252625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103155851364136},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6762207746505737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6522970199584961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142448782920837},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5652003288269043},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5509834885597229},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.548954963684082},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5087602734565735},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48362603783607483},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.45025789737701416},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.43145620822906494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4093879759311676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3440936207771301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2577216625213623},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23908311128616333},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.17900115251541138},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15269896388053894}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7600290179252625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103155851364136},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6762207746505737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6522970199584961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142448782920837},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5652003288269043},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5509834885597229},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.548954963684082},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5087602734565735},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48362603783607483},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.45025789737701416},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.43145620822906494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4093879759311676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3440936207771301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2577216625213623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23908311128616333},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.17900115251541138},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15269896388053894},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/lsp.2014.2369211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2369211","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1689727326","https://openalex.org/W2006227471","https://openalex.org/W2019085623","https://openalex.org/W2074378519","https://openalex.org/W2104853049","https://openalex.org/W2115362620","https://openalex.org/W2127295759","https://openalex.org/W2129404737","https://openalex.org/W2134514757","https://openalex.org/W2141584146","https://openalex.org/W2143516773","https://openalex.org/W2144977356","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2165306775","https://openalex.org/W6637581556","https://openalex.org/W6681435098"],"related_works":["https://openalex.org/W2168583610","https://openalex.org/W2106912783","https://openalex.org/W4319992527","https://openalex.org/W2242351545","https://openalex.org/W2895933466","https://openalex.org/W4387725132","https://openalex.org/W4281867900","https://openalex.org/W4225279861","https://openalex.org/W3007210128","https://openalex.org/W4212842756"],"abstract_inverted_index":{"In":[0,118],"this":[1],"letter,":[2],"we":[3,142],"present":[4],"a":[5,32,42,65,129],"novel":[6],"DCT-based":[7,82],"local":[8,83],"binary":[9,98],"descriptor":[10,149],"for":[11,93,140],"the":[12,28,77,94,104,111,115,120,137,144,147,151],"dense":[13,38,79],"matching":[14,52,63,105,112],"of":[15,30,35,64,68,122,146,156],"multiple":[16],"view":[17],"stereo":[18],"(MVS).":[19],"Recently,":[20],"although":[21],"much":[22],"progress":[23],"has":[24,47],"been":[25],"made":[26],"in":[27,76,154],"field":[29],"MVS,":[31,141],"key":[33],"component":[34],"which,":[36],"i.e.,":[37],"matching,":[39],"is":[40,100,125],"still":[41],"challenging":[43],"task":[44],"because":[45],"it":[46],"two":[48],"difficult":[49],"issues:":[50],"robust":[51],"over":[53,150],"non-salient":[54,95],"regions":[55],"(e.g.,":[56],"lines":[57],"and":[58,61,158],"textureless":[59],"regions)":[60],"fast":[62],"large":[66],"number":[67],"pixels.":[69],"To":[70],"deal":[71],"with":[72],"these":[73],"issues":[74],"effectively,":[75],"proposed":[78,148],"descriptor,":[80],"2D":[81],"features":[84],"are":[85],"utilized":[86],"to":[87,102],"achieve":[88],"high":[89],"discriminative":[90],"power":[91],"even":[92],"regions.":[96],"A":[97],"representation":[99],"adopted":[101],"increase":[103],"performance":[106],"as":[107,109],"well":[108],"accelerate":[110],"speed":[113],"via":[114],"Hamming":[116],"distance.":[117],"addition,":[119],"discriminability":[121],"binarized":[123],"vectors":[124],"further":[126],"improved":[127],"by":[128],"space-frequency":[130],"pooling":[131],"scheme.":[132],"Through":[133],"extensive":[134],"experiments":[135],"on":[136],"benchmark":[138],"datasets":[139],"demonstrate":[143],"superiority":[145],"state-of-the-art":[152],"descriptors":[153],"terms":[155],"accuracy":[157],"efficiency.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}