{"id":"https://openalex.org/W4401943787","doi":"https://doi.org/10.1109/iccp61108.2024.10644223","title":"Scanning Iridescent Reflectance","display_name":"Scanning Iridescent Reflectance","publication_year":2024,"publication_date":"2024-07-22","ids":{"openalex":"https://openalex.org/W4401943787","doi":"https://doi.org/10.1109/iccp61108.2024.10644223"},"language":"en","primary_location":{"id":"doi:10.1109/iccp61108.2024.10644223","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp61108.2024.10644223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5057945516","display_name":"Michael De Zeeuw","orcid":"https://orcid.org/0000-0002-0421-0879"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael De Zeeuw","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,PA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,PA,15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034284556","display_name":"Aswin C. Sankaranarayanan","orcid":"https://orcid.org/0000-0003-0906-4046"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aswin C. Sankaranarayanan","raw_affiliation_strings":["Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,PA,15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Department of Electrical and Computer Engineering,Pittsburgh,PA,15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057945516"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26892241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9993000030517578,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9908000230789185,"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":0.9887999892234802,"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/iridescence","display_name":"Iridescence","score":0.8314396142959595},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.7580738067626953},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.37534260749816895},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3637857437133789},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3495095372200012},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34884095191955566},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1664695143699646},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1128423810005188}],"concepts":[{"id":"https://openalex.org/C206622957","wikidata":"https://www.wikidata.org/wiki/Q957208","display_name":"Iridescence","level":2,"score":0.8314396142959595},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.7580738067626953},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37534260749816895},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3637857437133789},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3495095372200012},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34884095191955566},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1664695143699646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1128423810005188}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp61108.2024.10644223","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp61108.2024.10644223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3827403979","display_name":null,"funder_award_id":"2008464","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1494645067","https://openalex.org/W1600855323","https://openalex.org/W1954665043","https://openalex.org/W1976598894","https://openalex.org/W1990784907","https://openalex.org/W1993349977","https://openalex.org/W2001415147","https://openalex.org/W2067479971","https://openalex.org/W2109885360","https://openalex.org/W2120798780","https://openalex.org/W2128333754","https://openalex.org/W2135861823","https://openalex.org/W2235136907","https://openalex.org/W2339940224","https://openalex.org/W2771965516","https://openalex.org/W2798373958","https://openalex.org/W2964228590","https://openalex.org/W3000731301","https://openalex.org/W3005895305","https://openalex.org/W3036843665","https://openalex.org/W3213840695","https://openalex.org/W3214712237","https://openalex.org/W4200159507","https://openalex.org/W4200313684","https://openalex.org/W4287114999","https://openalex.org/W4294811268","https://openalex.org/W4297812694","https://openalex.org/W6691410409","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6784729325","https://openalex.org/W6797770180","https://openalex.org/W6798033281"],"related_works":["https://openalex.org/W2145622026","https://openalex.org/W2130349388","https://openalex.org/W2765641896","https://openalex.org/W2117612895","https://openalex.org/W2136321110","https://openalex.org/W3152672463","https://openalex.org/W2073276318","https://openalex.org/W2016427106","https://openalex.org/W3005097841","https://openalex.org/W2156097447"],"abstract_inverted_index":{"Acquisition":[0],"of":[1,29,50,78,93,142,167],"high-dimensional":[2],"spatially-varying":[3,182],"bidirectional":[4],"reflectance":[5,65,162],"distribution":[6],"functions":[7],"(SVBRDFs)":[8],"is":[9,32],"extremely":[10],"challenging":[11],"for":[12,62,139],"scenes":[13],"that":[14,87,129,153,164,173,180],"exhibit":[15,181],"high-frequency":[16],"angular":[17,27],"effects-in":[18],"particular,":[19],"iridescence-that":[20],"requires":[21,131],"dense":[22,91],"sampling":[23],"across":[24,96],"spatial":[25,97],"and":[26,40,82,98],"dimensions":[28],"reflectance.":[30],"This":[31,56],"further":[33],"complicated":[34],"by":[35],"the":[36,42,48,64,94,120,140,145,156,168],"need":[37],"to":[38,117],"illuminate":[39],"observe":[41],"material":[43],"along":[44],"grazing":[45,108],"angles,":[46,123,147],"where":[47],"effects":[49],"Iridescence":[51],"are":[52],"often":[53],"most":[54],"prominent.":[55],"paper":[57],"proposes":[58],"an":[59,74,79,113,126],"imaging":[60,75,175],"system":[61,72,176],"acquiring":[63],"associated":[66],"with":[67],"such":[68],"iridescent":[69],"materials.":[70],"Our":[71],"uses":[73],"setup,":[76],"consisting":[77],"ellipsoidal":[80],"mirror":[81],"a":[83,90,103,132,150,159],"light":[84],"field":[85],"camera,":[86],"can":[88,177],"acquire":[89],"slice":[92],"SVBRDF":[95],"observation":[99,109],"angle":[100],"axes":[101],"from":[102,185],"single":[104],"image,":[105],"including":[106],"at":[107],"angles.":[110],"We":[111,171],"use":[112],"active":[114],"illumination":[115,122],"setup":[116,128],"sparsely":[118],"sample":[119],"incident":[121,146],"thereby":[124],"providing":[125],"acquisition":[127],"only":[130],"few":[133],"(light":[134],"field)":[135],"photographs.":[136],"To":[137],"compensate":[138],"lack":[141],"density":[143],"in":[144],"we":[148],"train":[149],"neural":[151],"model":[152],"implicitly":[154],"represents":[155],"SVBRDF,":[157],"creating":[158],"light-weight":[160],"data-driven":[161],"function":[163],"enables":[165],"interpolation":[166],"missing":[169],"measurements.":[170],"show":[172],"our":[174],"reconstruct":[178],"textures":[179],"iridescence":[183],"stemming":[184],"diffraction":[186],"as":[187,189],"well":[188],"structural":[190],"coloration.":[191]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
