{"id":"https://openalex.org/W1989944214","doi":"https://doi.org/10.1145/1666778.1666816","title":"Efficient acquisition of light transport based on separation of direct and global components","display_name":"Efficient acquisition of light transport based on separation of direct and global components","publication_year":2009,"publication_date":"2009-12-08","ids":{"openalex":"https://openalex.org/W1989944214","doi":"https://doi.org/10.1145/1666778.1666816","mag":"1989944214"},"language":"en","primary_location":{"id":"doi:10.1145/1666778.1666816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666778.1666816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH ASIA 2009 Posters","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/A5109472441","display_name":"Keiichi Ochiai","orcid":"https://orcid.org/0000-0001-8344-0551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keiichi Ochiai","raw_affiliation_strings":["NTT DOCOMO, INC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, INC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109934226","display_name":"Norimichi Tsumura","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norimichi Tsumura","raw_affiliation_strings":["Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038644272","display_name":"Toshiya Nakaguchi","orcid":"https://orcid.org/0000-0002-8348-6178"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiya Nakaguchi","raw_affiliation_strings":["Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102100945","display_name":"Yoichi Miyake","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Miyake","raw_affiliation_strings":["Chiba University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University","institution_ids":["https://openalex.org/I159385669"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/global-illumination","display_name":"Global illumination","score":0.8306158781051636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8017193078994751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6984409093856812},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6500144004821777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471883058547974},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5577681660652161},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5331506133079529},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5273070335388184},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5023810863494873},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46146896481513977},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4427400231361389},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4157496690750122},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.23531579971313477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0893220603466034}],"concepts":[{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.8306158781051636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017193078994751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6984409093856812},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6500144004821777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471883058547974},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5577681660652161},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5331506133079529},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5273070335388184},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5023810863494873},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46146896481513977},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4427400231361389},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4157496690750122},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.23531579971313477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0893220603466034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1666778.1666816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1666778.1666816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH ASIA 2009 Posters","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":4,"referenced_works":["https://openalex.org/W2005508829","https://openalex.org/W2008966759","https://openalex.org/W2122981824","https://openalex.org/W2294099857"],"related_works":["https://openalex.org/W2025036815","https://openalex.org/W2593128750","https://openalex.org/W2255352395","https://openalex.org/W4239343086","https://openalex.org/W2064721722","https://openalex.org/W2040510994","https://openalex.org/W4205984246","https://openalex.org/W2093369918","https://openalex.org/W1987047712","https://openalex.org/W2038974043"],"abstract_inverted_index":{"Photorealistic":[0],"image":[1],"synthesis":[2],"is":[3],"a":[4,23,33,110,122,131],"challenging":[5],"topic":[6],"in":[7,40,106],"computer":[8],"graphics.":[9],"Image-based":[10],"techniques":[11],"for":[12,126],"capturing":[13],"and":[14,32,139],"reproducing":[15],"the":[16,60,78,81,107,137],"appearance":[17],"of":[18,26,36,62,80,109,130,136],"real":[19],"scenes":[20],"have":[21,56,94],"received":[22],"great":[24],"deal":[25],"attention.":[27],"A":[28],"long":[29],"measurement":[30],"time":[31],"large":[34],"amount":[35],"memory":[37],"are":[38],"required":[39],"order":[41],"to":[42],"acquire":[43],"an":[44],"image-based":[45],"relightable":[46],"dataset,":[47],"i.e.,":[48],"light":[49,65,128],"transport":[50,66,129],"or":[51],"reflectance":[52],"field.":[53],"Several":[54],"approaches":[55],"been":[57],"proposed":[58,83],"with":[59,77],"goal":[61],"efficiently":[63,105],"acquiring":[64],"[Sen":[67],"et":[68,72,88],"al.":[69,73,89],"2005;":[70],"Fuchs":[71],"2007].":[74],"However,":[75],"since,":[76],"exception":[79],"recently":[82],"compressive":[84],"sensing":[85],"method":[86,125],"[Peers":[87],"2009],":[90],"most":[91],"previous":[92],"studies":[93],"focused":[95],"on":[96,134],"scene":[97,111,132],"adaptive":[98],"sampling":[99,124],"algorithms,":[100],"conventional":[101],"methods":[102],"cannot":[103],"perform":[104],"case":[108],"that":[112],"has":[113],"significant":[114],"global":[115,140],"illumination.":[116],"In":[117],"this":[118],"paper,":[119],"we":[120],"present":[121],"non-adaptive":[123],"measuring":[127],"based":[133],"separation":[135],"direct":[138],"illumination":[141],"components.":[142]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
