{"id":"https://openalex.org/W1532340890","doi":"https://doi.org/10.1007/978-3-540-68847-1_6","title":"Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments","display_name":"Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1532340890","doi":"https://doi.org/10.1007/978-3-540-68847-1_6","mag":"1532340890"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-68847-1_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-68847-1_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-76718.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089803467","display_name":"Yasutake Takahashi","orcid":"https://orcid.org/0000-0001-7301-9907"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasutake Takahashi","raw_affiliation_strings":["Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Yamadaoka 2-1, Suita, Osaka, 565-0871, Japan","Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Osaka, Japan 565-0871#TAB#"],"affiliations":[{"raw_affiliation_string":"Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Yamadaoka 2-1, Suita, Osaka, 565-0871, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Osaka, Japan 565-0871#TAB#","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102051125","display_name":"Walter Nowak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Walter Nowak","raw_affiliation_strings":["Fraunhofer Institute IAIS, Schloss Birlinghoven, D-53754, Sankt Augustin, Germany","Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin, Germany D-53754#TAB#"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute IAIS, Schloss Birlinghoven, D-53754, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin, Germany D-53754#TAB#","institution_ids":["https://openalex.org/I4210144576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037791496","display_name":"Thomas Wisspeintner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144576","display_name":"Fraunhofer Institute for Intelligent Analysis and Information Systems","ror":"https://ror.org/04nc32781","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144576","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wisspeintner","raw_affiliation_strings":["Fraunhofer Institute IAIS, Schloss Birlinghoven, D-53754, Sankt Augustin, Germany","Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin, Germany D-53754#TAB#"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute IAIS, Schloss Birlinghoven, D-53754, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210144576"]},{"raw_affiliation_string":"Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin, Germany D-53754#TAB#","institution_ids":["https://openalex.org/I4210144576"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089803467"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":7.149,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97119342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9973000288009644,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8333284258842468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7993910908699036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7527188062667847},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6107189655303955},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.5649136304855347},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5135931968688965},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4850541949272156},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4627613425254822},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.4462969899177551},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4200010299682617},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41382667422294617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.338932603597641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2940928339958191},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27474191784858704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8333284258842468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7993910908699036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7527188062667847},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6107189655303955},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.5649136304855347},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5135931968688965},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4850541949272156},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4627613425254822},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.4462969899177551},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4200010299682617},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41382667422294617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.338932603597641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2940928339958191},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27474191784858704}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-540-68847-1_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-68847-1_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.5988","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.5988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.er.ams.eng.osaka-u.ac.jp/Paper/2007/Takahashi07a.pdf","raw_type":"text"},{"id":"pmh:oai:fraunhofer.de:N-76718","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-76718.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/358287","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/358287","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-76718","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-76718.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAIS","raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W26772505","https://openalex.org/W42276293","https://openalex.org/W1480727291","https://openalex.org/W1482705205","https://openalex.org/W1491192762","https://openalex.org/W1491550169","https://openalex.org/W1499005657","https://openalex.org/W1502567090","https://openalex.org/W1504002935","https://openalex.org/W1509987075","https://openalex.org/W1526889104","https://openalex.org/W1545441630","https://openalex.org/W1548032072","https://openalex.org/W1553532907","https://openalex.org/W1570424480","https://openalex.org/W1587043297","https://openalex.org/W1801710781","https://openalex.org/W2107558608","https://openalex.org/W2109341431","https://openalex.org/W2137176372","https://openalex.org/W2139698815","https://openalex.org/W2154844948","https://openalex.org/W2270264566","https://openalex.org/W2502896360","https://openalex.org/W2561675875","https://openalex.org/W3212743282","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1964628873","https://openalex.org/W1981206111","https://openalex.org/W2167320272","https://openalex.org/W2064532007","https://openalex.org/W2294493990","https://openalex.org/W2117507819","https://openalex.org/W2355820532","https://openalex.org/W2388236772","https://openalex.org/W2009056760","https://openalex.org/W2102981950"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}