{"id":"https://openalex.org/W4248716832","doi":"https://doi.org/10.1109/icpr.2004.1334085","title":"LightSphere: fast lighting compensation for matching a 2D image to a 3D model","display_name":"LightSphere: fast lighting compensation for matching a 2D image to a 3D model","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4248716832","doi":"https://doi.org/10.1109/icpr.2004.1334085"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5072970039","display_name":"A.P. Blicher","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"A.P. Blicher","raw_affiliation_strings":["NEC Laboratories of America, Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories of America, Inc., Princeton, NJ, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069524419","display_name":"S. Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Roy","raw_affiliation_strings":["D\u00e9partement dInformatique et Recherche Op\u00e9rationnelle, Universit\u00e9 de Montreal, Montreal, QUE, Canada","NEC Laboratories of America, Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement dInformatique et Recherche Op\u00e9rationnelle, Universit\u00e9 de Montreal, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"NEC Laboratories of America, Inc., Princeton, NJ, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020638665","display_name":"P.S. Penev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P.S. Penev","raw_affiliation_strings":["NEC Laboratories of America, Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories of America, Inc., Princeton, NJ, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072970039"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3804,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56026786,"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":"157","last_page":"162 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"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/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.8399907350540161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7509517669677734},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6788792014122009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6485257148742676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6368666887283325},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5512588024139404},{"id":"https://openalex.org/keywords/image-based-lighting","display_name":"Image-based lighting","score":0.5192725658416748},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.45181161165237427},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4357191026210785},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42819279432296753},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4238399267196655},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4116725027561188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3605198264122009},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2989560663700104},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.28716951608657837},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.25031566619873047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1645832061767578}],"concepts":[{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.8399907350540161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509517669677734},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6788792014122009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6485257148742676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6368666887283325},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5512588024139404},{"id":"https://openalex.org/C204060014","wikidata":"https://www.wikidata.org/wiki/Q6002069","display_name":"Image-based lighting","level":4,"score":0.5192725658416748},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.45181161165237427},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4357191026210785},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42819279432296753},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4238399267196655},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4116725027561188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3605198264122009},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2989560663700104},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.28716951608657837},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.25031566619873047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1645832061767578},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/icpr.2004.1334085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":16,"referenced_works":["https://openalex.org/W1511916275","https://openalex.org/W2019895220","https://openalex.org/W2033419168","https://openalex.org/W2099478163","https://openalex.org/W2102760078","https://openalex.org/W2117820831","https://openalex.org/W2130259898","https://openalex.org/W2135463994","https://openalex.org/W2138451337","https://openalex.org/W2141045842","https://openalex.org/W2143915994","https://openalex.org/W2148673968","https://openalex.org/W2152826865","https://openalex.org/W2157500953","https://openalex.org/W2166576352","https://openalex.org/W6629406199"],"related_works":["https://openalex.org/W1996671438","https://openalex.org/W2063805703","https://openalex.org/W2611841783","https://openalex.org/W4382897192","https://openalex.org/W2158803563","https://openalex.org/W2010071472","https://openalex.org/W2155104807","https://openalex.org/W2114428029","https://openalex.org/W2152606685","https://openalex.org/W1522975038"],"abstract_inverted_index":{"We":[0,51,63,134],"describe":[1],"a":[2,14,25,43,79,94,100,120,139],"fast":[3,21],"object":[4],"recognition":[5,136,159],"method":[6],"that":[7],"identifies":[8],"2D":[9],"color":[10],"image":[11,96],"queries":[12],"among":[13],"set":[15,141],"of":[16,46,70,81,90,112,123,142],"3D":[17,144],"models.":[18],"It":[19],"is":[20,32,161],"enough":[22],"for":[23,35,103,109],"searching":[24],"very":[26,39],"large":[27],"database.":[28],"The":[29,158],"main":[30],"application":[31],"face":[33,145],"recognition,":[34],"which":[36,105,167],"we":[37,73,98],"report":[38,135],"good":[40],"accuracy":[41,160],"over":[42],"wide":[44],"range":[45],"pose":[47,89],"and":[48,58,88,128,147,154,174],"lighting":[49,57,87,156],"conditions.":[50,157],"make":[52,168],"weaker":[53],"assumptions":[54,170],"about":[55,171],"both":[56],"reflectance":[59],"than":[60],"are":[61],"usual.":[62],"avoid":[64],"finding":[65],"eigenvectors":[66],"or":[67],"solving":[68],"systems":[69],"equations.":[71],"Instead,":[72],"use":[74],"the":[75,82,85,91,110,113,116,124,131,172],"query":[76,129,149],"to":[77,84],"estimate":[78],"specialization":[80],"BRDF":[83,173],"fixed":[86],"query.":[92],"In":[93],"single":[95],"pass,":[97],"compute":[99],"lookup":[101],"table":[102],"re-rendering,":[104],"represents":[106],"expectation":[107],"values":[108],"action":[111],"light":[114],"via":[115],"BRDF.":[117],"This":[118],"yields":[119],"similarity":[121],"measure":[122],"consistency":[125],"between":[126],"model":[127],"under":[130],"regularity":[132],"assumptions.":[133],"results":[137],"on":[138],"data":[140],"42":[143],"models":[146],"1764":[148],"images,":[150],"comprising":[151],"7":[152],"poses":[153],"6":[155],"indistinguishable":[162],"from":[163],"much":[164],"slower":[165],"methods,":[166],"stronger":[169],"lighting.":[175]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}