{"id":"https://openalex.org/W3180352404","doi":"https://doi.org/10.1109/iccp51581.2021.9466267","title":"Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance","display_name":"Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance","publication_year":2021,"publication_date":"2021-05-23","ids":{"openalex":"https://openalex.org/W3180352404","doi":"https://doi.org/10.1109/iccp51581.2021.9466267","mag":"3180352404"},"language":"en","primary_location":{"id":"doi:10.1109/iccp51581.2021.9466267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51581.2021.9466267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Photography (ICCP)","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/A5100363439","display_name":"Chunyu Li","orcid":"https://orcid.org/0000-0002-8280-7304"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chunyu Li","raw_affiliation_strings":["School of Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039862436","display_name":"Yusuke Monno","orcid":"https://orcid.org/0000-0001-6733-3406"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Monno","raw_affiliation_strings":["School of Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Okutomi","raw_affiliation_strings":["School of Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8732,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75669747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.615114688873291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125258207321167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5783076882362366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383338332176208},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.48195335268974304},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.4534263610839844},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.42874300479888916},{"id":"https://openalex.org/keywords/spectral-power-distribution","display_name":"Spectral power distribution","score":0.4200449585914612},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2615751028060913},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14475959539413452}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.615114688873291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125258207321167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5783076882362366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383338332176208},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.48195335268974304},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.4534263610839844},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.42874300479888916},{"id":"https://openalex.org/C94360122","wikidata":"https://www.wikidata.org/wiki/Q1967557","display_name":"Spectral power distribution","level":2,"score":0.4200449585914612},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2615751028060913},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14475959539413452}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp51581.2021.9466267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51581.2021.9466267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8696786615","display_name":null,"funder_award_id":"17H00744,21K17762","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W8423413","https://openalex.org/W43749187","https://openalex.org/W1977216608","https://openalex.org/W1984864470","https://openalex.org/W1992642990","https://openalex.org/W2008073424","https://openalex.org/W2027327313","https://openalex.org/W2051416144","https://openalex.org/W2060521333","https://openalex.org/W2064500837","https://openalex.org/W2072445211","https://openalex.org/W2092622957","https://openalex.org/W2095425252","https://openalex.org/W2098551034","https://openalex.org/W2117751343","https://openalex.org/W2141012860","https://openalex.org/W2144412886","https://openalex.org/W2163753106","https://openalex.org/W2179868869","https://openalex.org/W2295904998","https://openalex.org/W2338968644","https://openalex.org/W2396714273","https://openalex.org/W2466285044","https://openalex.org/W2470541355","https://openalex.org/W2471962767","https://openalex.org/W2519207384","https://openalex.org/W2520013826","https://openalex.org/W2520430674","https://openalex.org/W2542144231","https://openalex.org/W2588734425","https://openalex.org/W2588854895","https://openalex.org/W2591916814","https://openalex.org/W2604139104","https://openalex.org/W2613799948","https://openalex.org/W2623365049","https://openalex.org/W2766419681","https://openalex.org/W2768964249","https://openalex.org/W2776639132","https://openalex.org/W2848020186","https://openalex.org/W2889407785","https://openalex.org/W2893739000","https://openalex.org/W2902375431","https://openalex.org/W2941320604","https://openalex.org/W2988445718","https://openalex.org/W3107252830","https://openalex.org/W3138407815","https://openalex.org/W3199643754","https://openalex.org/W4231025387","https://openalex.org/W6652231383","https://openalex.org/W6684063576","https://openalex.org/W6726823593","https://openalex.org/W6735996390","https://openalex.org/W6780743199"],"related_works":["https://openalex.org/W2397912953","https://openalex.org/W2124439461","https://openalex.org/W2367434614","https://openalex.org/W2099004500","https://openalex.org/W2077708435","https://openalex.org/W4376115546","https://openalex.org/W4243167425","https://openalex.org/W1992884771","https://openalex.org/W4206603469","https://openalex.org/W4281488350"],"abstract_inverted_index":{"Reconstructing":[0],"an":[1,79,83],"object's":[2],"high-quality":[3,191],"3D":[4,24,52,140,192],"shape":[5,53,141],"with":[6,194],"inherent":[7],"spectral":[8,56,112,115,145,196],"reflectance":[9,57,146,197],"property,":[10],"beyond":[11],"typical":[12],"device-dependent":[13],"RGB":[14,71],"albedos,":[15],"opens":[16],"the":[17,51,55,105,125,135,139,143,149,154],"door":[18],"to":[19],"applications":[20],"requiring":[21],"a":[22,38,69,94,130,190],"high-fidelity":[23],"model":[25,96,193],"in":[26,104],"terms":[27],"of":[28,61,138],"both":[29,99,178],"geometry":[30],"and":[31,54,73,101,118,142,153,171,180],"photometry.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,128],"propose":[37],"novel":[39],"Multi-View":[40],"Inverse":[41],"Rendering":[42],"(MVIR)":[43],"method":[44,164],"called":[45],"Spectral":[46,186],"MVIR":[47,132,187],"for":[48,58,134],"jointly":[49],"reconstructing":[50],"each":[59],"point":[60],"object":[62],"surfaces":[63],"from":[64,157],"multi-view":[65],"images":[66],"captured":[67],"using":[68,177],"standard":[70],"camera":[72,111],"low-cost":[74],"lighting":[75],"equipment":[76,170],"such":[77],"as":[78],"LED":[80,84],"bulb":[81],"or":[82],"projector.":[85],"Our":[86],"main":[87],"contributions":[88],"are":[89],"twofold:":[90],"(i)":[91],"We":[92],"present":[93],"rendering":[95],"that":[97,184],"considers":[98],"geometric":[100,173],"photometric":[102],"principles":[103],"image":[106],"formation":[107],"by":[108],"explicitly":[109],"considering":[110],"sensitivity,":[113],"light's":[114],"power":[116],"distribution,":[117],"light":[119,150],"source":[120,151],"positions.":[121],"(ii)":[122],"Based":[123],"on":[124],"derived":[126],"model,":[127],"build":[129],"cost-optimization":[131],"framework":[133],"joint":[136],"reconstruction":[137],"per-vertex":[144],"while":[147],"estimating":[148],"positions":[152],"shadows.":[155],"Different":[156],"most":[158],"existing":[159],"spectral-3D":[160],"acquisition":[161],"methods,":[162],"our":[163,185],"does":[165],"not":[166],"require":[167],"expensive":[168],"special":[169],"cumbersome":[172],"calibration.":[174],"Experimental":[175],"results":[176],"synthetic":[179],"real-world":[181],"data":[182],"demonstrate":[183],"can":[188],"acquire":[189],"accurate":[195],"property.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
