{"id":"https://openalex.org/W2162668546","doi":"https://doi.org/10.1109/robot.2006.1642223","title":"Color classification using adaptive dichromatic model","display_name":"Color classification using adaptive dichromatic model","publication_year":2006,"publication_date":"2006-07-10","ids":{"openalex":"https://openalex.org/W2162668546","doi":"https://doi.org/10.1109/robot.2006.1642223","mag":"2162668546"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2006.1642223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2006.1642223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.","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/A5060594052","display_name":"Xiaohu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xiaohu Lu","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060364014","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0003-3480-0244"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060594052"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.2553,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61750818,"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":"3411","last_page":"3416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9966999888420105,"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":0.9966999888420105,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9793999791145325,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9782999753952026,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7351240515708923},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7302438616752625},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6965548992156982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5796915888786316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5613099336624146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5593097805976868},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.5232947468757629},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5085164308547974},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5013942718505859},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.47537317872047424},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.473422110080719},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4664057791233063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4219897985458374},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4211788773536682},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4179023802280426},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.37727582454681396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17723718285560608},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14470174908638},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.12239000201225281},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11271670460700989}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7351240515708923},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7302438616752625},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6965548992156982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796915888786316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5613099336624146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5593097805976868},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.5232947468757629},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5085164308547974},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5013942718505859},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.47537317872047424},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.473422110080719},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4664057791233063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4219897985458374},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4211788773536682},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4179023802280426},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.37727582454681396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17723718285560608},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14470174908638},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.12239000201225281},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11271670460700989},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.2006.1642223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2006.1642223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1572849274","https://openalex.org/W1990834635","https://openalex.org/W1991135461","https://openalex.org/W2072595688","https://openalex.org/W2118827576","https://openalex.org/W2119204143","https://openalex.org/W2122243061","https://openalex.org/W2131393045","https://openalex.org/W2140235142","https://openalex.org/W2145443310","https://openalex.org/W2152057642","https://openalex.org/W2154217002","https://openalex.org/W2157441059","https://openalex.org/W2914885528","https://openalex.org/W3175802415","https://openalex.org/W6679195590","https://openalex.org/W6680603824","https://openalex.org/W6682180107"],"related_works":["https://openalex.org/W1964628873","https://openalex.org/W2363948521","https://openalex.org/W2094705558","https://openalex.org/W2964919246","https://openalex.org/W2117507819","https://openalex.org/W2117238110","https://openalex.org/W1583355212","https://openalex.org/W789236363","https://openalex.org/W2380673039","https://openalex.org/W2102981950"],"abstract_inverted_index":{"Color-based":[0],"vision":[1],"applications":[2],"face":[3],"the":[4,30,47,54,63,68,74,89,109],"challenge":[5],"that":[6,21,96],"colors":[7],"are":[8],"variant":[9],"to":[10,24,45],"illumination.":[11],"In":[12],"this":[13,86],"paper":[14],"we":[15,35],"present":[16],"a":[17,37,50,97,113],"color":[18,32,51,56,65,75,110],"classification":[19],"algorithm":[20],"is":[22,60,77,88,102],"adaptive":[23],"continuous":[25],"variable":[26],"lighting.":[27],"Motivated":[28],"by":[29,93],"dichromatic":[31,114],"reflectance":[33],"model,":[34],"use":[36],"Gaussian":[38],"mixture":[39],"model":[40,46,76],"(GMM)":[41],"of":[42,49,85,99,108,112],"two":[43,100],"components":[44,101],"distribution":[48,111],"class":[52],"in":[53],"YUV":[55],"space.":[57],"The":[58,82],"GMM":[59,98],"derived":[61],"from":[62],"classified":[64],"pixels":[66],"using":[67],"standard":[69],"expectation-maximization":[70],"(EM)":[71],"algorithm,":[72],"and":[73,105],"iteratively":[78],"updated":[79],"over":[80],"time.":[81],"novel":[83],"contribution":[84],"work":[87],"theoretical":[90],"analysis":[91],"supported":[92],"experiments":[94],"-":[95],"an":[103],"accurate":[104],"complete":[106],"representation":[107],"surface":[115]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
