{"id":"https://openalex.org/W1989718998","doi":"https://doi.org/10.1145/2534008.2534021","title":"Depth estimation by cost volume with spatial-temporal cross-based local multipoint filter using projecting infrared patterns","display_name":"Depth estimation by cost volume with spatial-temporal cross-based local multipoint filter using projecting infrared patterns","publication_year":2013,"publication_date":"2013-11-06","ids":{"openalex":"https://openalex.org/W1989718998","doi":"https://doi.org/10.1145/2534008.2534021","mag":"1989718998"},"language":"en","primary_location":{"id":"doi:10.1145/2534008.2534021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534008.2534021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th European Conference on Visual Media Production","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/A5016633127","display_name":"Kensuke Hisatomi","orcid":"https://orcid.org/0000-0001-5619-4471"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kensuke Hisatomi","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011358767","display_name":"Kensuke Ikeya","orcid":null},"institutions":[{"id":"https://openalex.org/I15905956","display_name":"NHK Spring (Japan)","ror":"https://ror.org/00vse3055","country_code":"JP","type":"company","lineage":["https://openalex.org/I15905956"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensuke Ikeya","raw_affiliation_strings":["NHK STRL, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NHK STRL, Tokyo, Japan","institution_ids":["https://openalex.org/I15905956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013614151","display_name":"Miwa Katayama","orcid":null},"institutions":[{"id":"https://openalex.org/I15905956","display_name":"NHK Spring (Japan)","ror":"https://ror.org/00vse3055","country_code":"JP","type":"company","lineage":["https://openalex.org/I15905956"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miwa Katayama","raw_affiliation_strings":["NHK STRL, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NHK STRL, Tokyo, Japan","institution_ids":["https://openalex.org/I15905956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112432077","display_name":"Yuichi Iwadate","orcid":null},"institutions":[{"id":"https://openalex.org/I15905956","display_name":"NHK Spring (Japan)","ror":"https://ror.org/00vse3055","country_code":"JP","type":"company","lineage":["https://openalex.org/I15905956"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Iwadate","raw_affiliation_strings":["NHK STRL, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NHK STRL, Tokyo, Japan","institution_ids":["https://openalex.org/I15905956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016633127"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68505172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9990000128746033,"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":0.9988999962806702,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7193002700805664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6577134132385254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651078462600708},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6059447526931763},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5960568189620972},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5695246458053589},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5615360140800476},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.511097252368927},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5102455615997314},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4826667606830597},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.42032259702682495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41162100434303284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2689577341079712},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06985169649124146}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7193002700805664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6577134132385254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651078462600708},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6059447526931763},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5960568189620972},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5695246458053589},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5615360140800476},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.511097252368927},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5102455615997314},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4826667606830597},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42032259702682495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41162100434303284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2689577341079712},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06985169649124146},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1145/2534008.2534021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534008.2534021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th European Conference on Visual Media Production","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1970955362","https://openalex.org/W2051770162","https://openalex.org/W2091574884","https://openalex.org/W2096521559","https://openalex.org/W2104974755","https://openalex.org/W2105365768","https://openalex.org/W2113873920","https://openalex.org/W2119454625","https://openalex.org/W2124202434","https://openalex.org/W2124535811","https://openalex.org/W2126373711","https://openalex.org/W2140200866","https://openalex.org/W2162383321","https://openalex.org/W2169162190","https://openalex.org/W2169757860","https://openalex.org/W2325223001","https://openalex.org/W2477860774","https://openalex.org/W4200268060"],"related_works":["https://openalex.org/W2391378893","https://openalex.org/W4379881777","https://openalex.org/W1484352354","https://openalex.org/W2319170675","https://openalex.org/W2978930127","https://openalex.org/W3046800873","https://openalex.org/W2077340757","https://openalex.org/W1981838057","https://openalex.org/W2921488062","https://openalex.org/W2133373206"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,51,55,74],"robust":[4],"depth-estimation":[5],"method":[6,103],"that":[7,76,115],"projects":[8],"infrared":[9,23,31],"dot-patterns":[10],"in":[11],"order":[12],"to":[13,27,97],"estimate":[14],"depth":[15,35,120],"maps":[16,36],"of":[17,42,50,83],"low-texture":[19,109],"dynamic":[20],"scene.":[21],"Two":[22],"cameras":[24],"are":[25,37],"utilized":[26],"observe":[28],"the":[29,34,43,94,98],"projected":[30],"patterns,":[32],"and":[33],"estimated":[38],"by":[39,80],"stereo":[40,46],"matching":[41,47],"patterns.":[44],"The":[45,70,101,111],"makes":[48],"use":[49],"cost":[52],"volume":[53],"with":[54],"cross-based":[56],"local":[57],"multipoint":[58],"filter":[59,66],"(CLMF)":[60],"which":[61],"is":[62,73,77,90,104],"an":[63],"edge-preserving":[64],"smoothing":[65],"using":[67,106],"adaptive":[68,71],"kernels.":[69],"kernel":[72],"window":[75],"adaptively":[78],"decided":[79],"selecting":[81],"pixels":[82],"similar":[84],"color.":[85],"In":[86],"this":[87],"paper,":[88],"CLMF":[89],"extended":[91],"(st-CLMF)":[92],"beyond":[93],"spatial":[95],"dimension":[96],"temporal":[99],"dimension.":[100],"proposed":[102],"evaluated":[105],"scenes":[107],"including":[108],"regions.":[110],"experimental":[112],"results":[113],"show":[114],"st-CMLF":[116],"can":[117],"perform":[118],"accurate":[119],"estimations.":[121]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}