{"id":"https://openalex.org/W2163753106","doi":"https://doi.org/10.1109/iccv.2007.4409090","title":"Multispectral Imaging Using Multiplexed Illumination","display_name":"Multispectral Imaging Using Multiplexed Illumination","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2163753106","doi":"https://doi.org/10.1109/iccv.2007.4409090","mag":"2163753106"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5101778847","display_name":"Jong\u2010Il Park","orcid":"https://orcid.org/0000-0003-4690-397X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong-Il Park","raw_affiliation_strings":["Hanyang University, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048214679","display_name":"Moon-Hyun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon-Hyun Lee","raw_affiliation_strings":["Hanyang University, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102856694","display_name":"Michael Grossberg","orcid":"https://orcid.org/0000-0003-4841-773X"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Michael D. Grossberg","raw_affiliation_strings":["City University of New York, USA","Hanyang University, South Korea"],"affiliations":[{"raw_affiliation_string":"City University of New York, USA","institution_ids":["https://openalex.org/I174216632"]},{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051975921","display_name":"Shree K. Nayar","orcid":"https://orcid.org/0000-0002-6452-6998"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Shree K. Nayar","raw_affiliation_strings":["Columbia University, USA","Hanyang University, South Korea"],"affiliations":[{"raw_affiliation_string":"Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Hanyang University, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101778847"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":3.0255,"has_fulltext":false,"cited_by_count":287,"citation_normalized_percentile":{"value":0.91580614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"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/T11666","display_name":"Color Science and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9937000274658203,"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":0.9919999837875366,"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":0.9341130256652832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7551158666610718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7242476940155029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077551484107971},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6901362538337708},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5780304670333862},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5575881600379944},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4867367744445801},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.48425695300102234},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4555434584617615},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42558053135871887},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.41938644647598267},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3964569568634033},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.2795497179031372},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1796923279762268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10616904497146606},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09512117505073547},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07454371452331543},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07289355993270874}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9341130256652832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551158666610718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7242476940155029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077551484107971},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6901362538337708},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5780304670333862},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5575881600379944},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4867367744445801},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.48425695300102234},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4555434584617615},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42558053135871887},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.41938644647598267},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3964569568634033},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2795497179031372},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1796923279762268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10616904497146606},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09512117505073547},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07454371452331543},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07289355993270874},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccv.2007.4409090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.116.416","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gip.cs.technion.ac.il/confrences/iccv 2007/data/papers/iccv/254.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.161.8262","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.8262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.cs.columbia.edu/CAVE/publications/pdfs/Park_ICCV07.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.218.6083","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.6083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ics.uci.edu/~majumder/COMPPC/papers/multispectralimaging.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W118768399","https://openalex.org/W1720737427","https://openalex.org/W1965103511","https://openalex.org/W1966880406","https://openalex.org/W1968485208","https://openalex.org/W1983382298","https://openalex.org/W1985051078","https://openalex.org/W1987721959","https://openalex.org/W1994559998","https://openalex.org/W2014403078","https://openalex.org/W2026350534","https://openalex.org/W2030270830","https://openalex.org/W2041187943","https://openalex.org/W2053746912","https://openalex.org/W2060592567","https://openalex.org/W2076486706","https://openalex.org/W2104391221","https://openalex.org/W2119136903","https://openalex.org/W2128003189","https://openalex.org/W2130700878","https://openalex.org/W2147842853","https://openalex.org/W2149648749","https://openalex.org/W2151346360","https://openalex.org/W2152197469","https://openalex.org/W2157343005","https://openalex.org/W2158895918","https://openalex.org/W2161782694","https://openalex.org/W2165160307","https://openalex.org/W2166785998","https://openalex.org/W2168851658","https://openalex.org/W2763763311","https://openalex.org/W3148408954","https://openalex.org/W4285719527","https://openalex.org/W6604735733","https://openalex.org/W6681868140","https://openalex.org/W6683091370"],"related_works":["https://openalex.org/W2792279927","https://openalex.org/W4385497869","https://openalex.org/W283587633","https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2051334599","https://openalex.org/W1752760603","https://openalex.org/W2035257606"],"abstract_inverted_index":{"Many":[0],"vision":[1],"tasks":[2],"such":[3],"as":[4,112],"scene":[5,28,46,81,134],"segmentation,":[6],"or":[7],"the":[8,24,49,80,94,104,115,128,157,170],"recognition":[9],"of":[10,27,51,72,108,117,151,159,172],"materials":[11],"within":[12],"a":[13,45,57,63,70,83,99,138,166],"scene,":[14],"become":[15],"considerably":[16],"easier":[17],"when":[18],"it":[19],"is":[20],"possible":[21],"to":[22,78,87,102,113,126,179],"measure":[23],"spectral":[25,42,54,109,124,130,142,183],"reflectance":[26,43,131],"surfaces.":[29],"In":[30],"this":[31,67],"paper,":[32],"we":[33,96,168],"present":[34,169],"an":[35],"efficient":[36],"and":[37,56,82,182],"robust":[38],"approach":[39,68],"for":[40,132,141],"recovering":[41],"in":[44],"that":[47],"combines":[48],"advantages":[50],"using":[52,69,137],"multiple":[53],"sources":[55,74,110],"multispectral":[58,149],"camera.":[59],"We":[60,120,155],"have":[61,97],"implemented":[62],"system":[64,146,161,178],"based":[65],"on":[66],"cluster":[71],"light":[73],"with":[75],"different":[76],"spectra":[77],"illuminate":[79],"conventional":[84],"RGB":[85],"camera":[86],"acquire":[88],"images.":[89,119],"Rather":[90],"than":[91],"sequentially":[92],"activating":[93],"sources,":[95],"developed":[98],"novel":[100],"technique":[101],"determine":[103],"optimal":[105],"multiplexing":[106],"sequence":[107],"so":[111],"minimize":[114],"number":[116],"acquired":[118],"use":[121],"our":[122,160,177],"recovered":[123,175],"measurements":[125],"recover":[127],"continuous":[129],"each":[133],"point":[135],"by":[136,176],"linear":[139],"model":[140],"reflectance.":[143],"Our":[144],"imaging":[145],"can":[147],"produce":[148],"videos":[150],"scenes":[152],"at":[153],"30fps.":[154],"demonstrate":[156],"effectiveness":[158],"through":[162],"extensive":[163],"evaluation.":[164],"As":[165],"demonstration,":[167],"results":[171],"applying":[173],"data":[174],"material":[180],"segmentation":[181],"relighting.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":17}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
