{"id":"https://openalex.org/W6963376439","doi":"https://doi.org/10.2312/sr.20241149","title":"Estimating Uncertainty in Appearance Acquisition","display_name":"Estimating Uncertainty in Appearance Acquisition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6963376439","doi":"https://doi.org/10.2312/sr.20241149"},"language":"en","primary_location":{"id":"doi:10.2312/sr.20241149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20241149","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/sr.20241149","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhou, Zhiqian","orcid":null},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhou, Zhiqian","raw_affiliation_strings":["University of California, Irvine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Irvine, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang, Cheng","raw_affiliation_strings":["Meta Reality Labs, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs, United States","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dong, Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong, Zhao","raw_affiliation_strings":["Meta Reality Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marshall, Carl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marshall, Carl","raw_affiliation_strings":["Meta Reality Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhao, Shuang","orcid":"https://orcid.org/0000-0003-4759-0514"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhao, Shuang","raw_affiliation_strings":["University of California, Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0003-4759-0514","affiliations":[{"raw_affiliation_string":"University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6115374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11354","display_name":"Evolution and Paleontology Studies","score":0.7275000214576721,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11354","display_name":"Evolution and Paleontology Studies","score":0.7275000214576721,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10955","display_name":"Paleontology and Evolutionary Biology","score":0.04749999940395355,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14372","display_name":"Environmental and Biological Research in Conflict Zones","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6398000121116638},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6190000176429749},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5020999908447266},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4952999949455261},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.47679999470710754},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4571000039577484},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.43290001153945923}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6398000121116638},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831999778747559},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5020999908447266},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4952999949455261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4788999855518341},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.43290001153945923},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3659999966621399},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.34470000863075256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3345000147819519},{"id":"https://openalex.org/C167723999","wikidata":"https://www.wikidata.org/wiki/Q3773214","display_name":"Sampling distribution","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3125},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.29980000853538513},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27300000190734863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/sr.20241149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20241149","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.2312/sr.20241149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sr.20241149","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"inference":[1,71],"of":[2,85,123],"material":[3,70,86],"reflectance":[4],"from":[5,18,46],"physical":[6],"observations":[7,35,76],"(e.g.,":[8],"photographs)":[9],"is":[10,73],"usually":[11],"under-constrained,":[12],"causing":[13],"point":[14,93],"estimates":[15],"to":[16,24,54,107],"suffer":[17],"ambiguity":[19],"and,":[20],"thus,":[21],"generalize":[22],"poorly":[23],"novel":[25],"configurations.":[26],"Conventional":[27],"methods":[28],"address":[29],"this":[30,40,44],"problem":[31,45,72],"by":[32,50,79,97,111],"using":[33,126],"dense":[34],"or":[36],"introducing":[37,51],"priors.":[38],"In":[39],"paper,":[41],"we":[42,103],"tackle":[43],"a":[47,52,59,69,91,105],"different":[48],"angle":[49],"method":[53,63,106],"quantify":[55],"uncertainties.":[56],"Based":[57],"on":[58],"Bayesian":[60],"formulation,":[61],"our":[62,124],"can":[64],"quantitatively":[65],"analyze":[66],"how":[67],"under-constrained":[68],"(given":[74],"the":[75,81,121],"and":[77,129],"priors),":[78],"sampling":[80],"entire":[82],"posterior":[83],"distribution":[84],"parameters":[87],"rather":[88],"than":[89],"optimizing":[90],"single":[92],"estimate":[94],"as":[95],"given":[96],"most":[98],"inverse":[99],"rendering":[100],"methods.":[101],"Further,":[102],"present":[104],"guide":[108],"acquisition":[109],"processes":[110],"recommending":[112],"viewing/lighting":[113],"configurations":[114],"for":[115],"making":[116],"additional":[117],"observations.":[118],"We":[119],"demonstrate":[120],"usefulness":[122],"technique":[125],"several":[127],"synthetic":[128],"one":[130],"real":[131],"example.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
