{"id":"https://openalex.org/W1977826275","doi":"https://doi.org/10.1109/icpr.2010.693","title":"Development of a High-Definition and Multispectral Image Capturing System for Digital Archiving of Early Modern Tapestries of Kyoto Gion Festival","display_name":"Development of a High-Definition and Multispectral Image Capturing System for Digital Archiving of Early Modern Tapestries of Kyoto Gion Festival","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1977826275","doi":"https://doi.org/10.1109/icpr.2010.693","mag":"1977826275"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2010.693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2010.693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 20th International Conference on Pattern Recognition","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/A5112432205","display_name":"Masaru Tsuchida","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaru Tsuchida","raw_affiliation_strings":["Communication Science Laboratory, NTT Corporation, Atsugi, Kanagawa, Japan","Commun. Sci. Labs., NTT Corp., Atsugi, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Science Laboratory, NTT Corporation, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210105847","https://openalex.org/I2251713219"]},{"raw_affiliation_string":"Commun. Sci. Labs., NTT Corp., Atsugi, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113758381","display_name":"Keiji Yano","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Yano","raw_affiliation_strings":["Department of Geography, Ritsumeikan University, Kita, Kyoto, Japan","Dept. of Geogr., Ritsumeikan Univ., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Geography, Ritsumeikan University, Kita, Kyoto, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Dept. of Geogr., Ritsumeikan Univ., Kyoto, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105470679","display_name":"Hiromi T. Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromi T. Tanaka","raw_affiliation_strings":["College of Info. Science Engineer, Ritsumeikan University, Kita, Kyoto, Japan","Coll. of Info. Sci. Eng., Ritsumeikan Univ., Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"College of Info. Science Engineer, Ritsumeikan University, Kita, Kyoto, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Coll. of Info. Sci. Eng., Ritsumeikan Univ., Kyoto, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112432205"],"corresponding_institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I4210105847"],"apc_list":null,"apc_paid":null,"fwci":1.5936,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83638146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2828","last_page":"2831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9724000096321106,"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":0.9724000096321106,"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":0.9652000069618225,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9333000183105469,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/multispectral-image","display_name":"Multispectral image","score":0.8875338435173035},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5461926460266113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460997223854065},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.47634604573249817},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44085076451301575},{"id":"https://openalex.org/keywords/digital-imaging","display_name":"Digital imaging","score":0.43729567527770996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4299100935459137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3910354971885681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3718988597393036},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.30236896872520447},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2555805742740631}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8875338435173035},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5461926460266113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460997223854065},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47634604573249817},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44085076451301575},{"id":"https://openalex.org/C112416745","wikidata":"https://www.wikidata.org/wiki/Q974213","display_name":"Digital imaging","level":5,"score":0.43729567527770996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4299100935459137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3910354971885681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3718988597393036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.30236896872520447},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2555805742740631}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2010.693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2010.693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 20th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2056258157","https://openalex.org/W2128564568","https://openalex.org/W2396888052","https://openalex.org/W2405550013","https://openalex.org/W4285719527","https://openalex.org/W4378009206"],"related_works":["https://openalex.org/W2956043259","https://openalex.org/W2544717973","https://openalex.org/W2919889606","https://openalex.org/W2961060159","https://openalex.org/W2005185696","https://openalex.org/W2161229648","https://openalex.org/W2235753890","https://openalex.org/W2144534260","https://openalex.org/W2098278115","https://openalex.org/W2159915011"],"abstract_inverted_index":{"We":[0],"developed":[1],"a":[2,10,13,18,24,40,80,89,151],"two-shot":[3],"6-band":[4,41,81,84],"image":[5,85,92,111,115],"capturing":[6],"system":[7,71,131],"consisting":[8],"of":[9,34,60,119],"large-format":[11],"camera,":[12],"customized":[14],"interference":[15,28,66],"filter,":[16],"and":[17,53,106,160],"scanning":[19],"digital":[20],"back":[21],"to":[22,38,153],"capture":[23],"185-M-pixel":[25],"images.":[26],"The":[27,83],"filter":[29,52,67],"is":[30,123],"set":[31],"in":[32,141,158],"front":[33],"the":[35,51,54,65,74,120,129,142,147,155],"camera":[36,130],"lens":[37],"obtain":[39],"image,":[42],"that":[43],"is,":[44],"two":[45,75],"3-band":[46],"images,":[47],"one":[48],"taken":[49],"with":[50,132],"other":[55],"without":[56],"it.":[57],"After":[58,146],"correction":[59],"optical":[61],"aberrations":[62],"caused":[63],"by":[64,112],"as":[68,70,102,108],"well":[69],"arrangement":[72],"errors,":[73],"images":[76,99,122],"are":[77],"combined":[78],"into":[79,88],"image.":[82],"was":[86],"converted":[87],"color-managed":[90],"RGB":[91],"embedded":[93],"ICC":[94],"profile.":[95],"In":[96],"experiments,":[97,148],"object":[98],"were":[100],"captured":[101,121],"several":[103],"divided":[104],"parts":[105],"synthesized":[107],"almost":[109],"500-M-pixel":[110],"using":[113],"an":[114],"stitching":[116],"technique.":[117],"Resolution":[118],"0.02":[124],"mm/pixel.":[125],"This":[126],"paper":[127],"discusses":[128],"its":[133],"focus":[134],"on":[135],"some":[136],"early":[137],"modern":[138],"tapestries":[139],"used":[140],"Kyoto":[143],"Gion":[144],"Festival.":[145],"we":[149],"interviewed":[150],"craftsman":[152],"assess":[154],"image's":[156],"importance":[157],"archiving":[159],"analyzing":[161],"fabric":[162],"structures.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
