{"id":"https://openalex.org/W3139826279","doi":"https://doi.org/10.1109/iccv.2003.1238430","title":"Appearance sampling for obtaining a set of basis images for variable illumination","display_name":"Appearance sampling for obtaining a set of basis images for variable illumination","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W3139826279","doi":"https://doi.org/10.1109/iccv.2003.1238430","mag":"3139826279"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2003.1238430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110944925","display_name":"Sato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sato","raw_affiliation_strings":["Inst. of Ind. Sci., Tokyo Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Ind. Sci., Tokyo Univ., Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008274949","display_name":"Okabe","orcid":null},"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":"Okabe","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110944925","display_name":"Sato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sato","raw_affiliation_strings":["Inst. of Ind. Sci., Tokyo Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Ind. Sci., Tokyo Univ., Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039227771","display_name":"Ikeuchi","orcid":null},"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":"Ikeuchi","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"800","last_page":"807 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940000176429749,"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":0.9922999739646912,"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/subspace-topology","display_name":"Subspace topology","score":0.6638021469116211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6604756712913513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6546752452850342},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.6437742710113525},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5948197245597839},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5764288306236267},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5560690760612488},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4936760365962982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4864084720611572},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.45770856738090515},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4306752681732178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4058695137500763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3653492331504822},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08042499423027039}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6638021469116211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604756712913513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6546752452850342},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.6437742710113525},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5948197245597839},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5764288306236267},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5560690760612488},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4936760365962982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4864084720611572},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.45770856738090515},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4306752681732178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4058695137500763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3653492331504822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08042499423027039},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2003.1238430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4300000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1595501465","https://openalex.org/W1680583314","https://openalex.org/W2003537776","https://openalex.org/W2004243836","https://openalex.org/W2099478163","https://openalex.org/W2102760078","https://openalex.org/W2105649179","https://openalex.org/W2123921160","https://openalex.org/W2123977795","https://openalex.org/W2134061380","https://openalex.org/W2134875082","https://openalex.org/W2136731103","https://openalex.org/W2143915994","https://openalex.org/W2148673968","https://openalex.org/W2160615084","https://openalex.org/W2164369380","https://openalex.org/W2168068730","https://openalex.org/W2170464076","https://openalex.org/W2245169112","https://openalex.org/W4229523108","https://openalex.org/W6680032128"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2379042074","https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2364594919","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917"],"abstract_inverted_index":{"Previous":[0],"studies":[1],"have":[2,59],"demonstrated":[3],"that":[4,129,132,161],"the":[5,37,54,84,114,149,152,156,173,182,195,210],"appearance":[6],"of":[7,24,46,101,104,113,125,135,144,151,164,201,209],"an":[8,105,145,202],"object":[9,64,106,115,146,203,211],"under":[10,49,66,117],"varying":[11,67],"illumination":[12,68,109],"conditions":[13],"can":[14,32,138,167],"be":[15,33,78,139,168],"represented":[16],"by":[17,35],"a":[18,29,43,93,99,118,133,162],"low-dimensional":[19],"linear":[20,30],"subspace.":[21],"A":[22],"set":[23,100,134,163],"basis":[25,85,102],"images":[26,47,76,86,103,112,143,166,208],"spanning":[27],"such":[28,160],"subspace":[31],"obtained":[34,169],"applying":[36],"principal":[38],"component":[39],"analysis":[40],"(PCA)":[41],"for":[42,63,96,107,141,205],"large":[44],"number":[45],"taken":[48,116],"different":[50],"lighting":[51,136],"conditions.":[52],"While":[53],"approaches":[55],"based":[56,171,186],"on":[57,148,172,176,187],"PCA":[58],"been":[60],"used":[61,204],"successfully":[62],"recognition":[65],"conditions,":[69],"little":[70],"is":[71,128],"known":[72],"about":[73],"how":[74],"many":[75],"would":[77],"required":[79],"in":[80,155],"order":[81],"to":[82],"obtain":[83],"correctly.":[87],"In":[88,179],"this":[89],"study,":[90],"we":[91,130],"present":[92],"novel":[94],"method":[95,191],"analytically":[97,170],"obtaining":[98],"arbitrary":[108],"from":[110],"input":[111],"point":[119],"light":[120],"source.":[121],"The":[122],"main":[123],"contribution":[124],"our":[126,190],"work":[127],"show":[131],"directions":[137],"determined":[140],"sampling":[142,174],"depending":[147],"spectrum":[150],"object's":[153],"BRDF":[154],"angular":[157],"frequency":[158],"domain":[159],"harmonic":[165],"theorem":[175],"spherical":[177,188],"harmonics.":[178],"addition,":[180],"unlike":[181],"previously":[183],"proposed":[184],"techniques":[185],"harmonics,":[189],"does":[192],"not":[193],"require":[194],"3D":[196],"shape":[197],"and":[198],"reflectance":[199],"properties":[200],"rendering":[206],"harmonics":[207],"synthetically.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}