{"id":"https://openalex.org/W2096562862","doi":"https://doi.org/10.1109/tpami.2006.170","title":"Reflectance sharing: predicting appearance from a sparse set of images of a known shape","display_name":"Reflectance sharing: predicting appearance from a sparse set of images of a known shape","publication_year":2006,"publication_date":"2006-06-21","ids":{"openalex":"https://openalex.org/W2096562862","doi":"https://doi.org/10.1109/tpami.2006.170","mag":"2096562862","pmid":"https://pubmed.ncbi.nlm.nih.gov/16886864"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2006.170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2006.170","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5073071472","display_name":"Todd Zickler","orcid":"https://orcid.org/0000-0002-3853-1558"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Zickler","raw_affiliation_strings":["Division of Engineering and Applied Sciences, Harvard University, 33 Oxford St., Cambridge, MA 02138, USA. zickler@eecs.harvard.edu","[Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering and Applied Sciences, Harvard University, 33 Oxford St., Cambridge, MA 02138, USA. zickler@eecs.harvard.edu","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"[Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA]","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034754633","display_name":"Ravi Ramamoorthi","orcid":"https://orcid.org/0000-0003-3993-5789"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Ramamoorthi","raw_affiliation_strings":["Computer Science Department, Columbia University, New York, NY, USA","[Computer Science Department, Columbia University, New York, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Department, Columbia University, New York, NY, USA]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029160476","display_name":"Sierra Gra\u00f1\u00f3n Jos\u00e9 Enrique","orcid":"https://orcid.org/0000-0002-8205-5720"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Enrique","raw_affiliation_strings":["Computer Science Department, Columbia University, New York, NY, USA","[Computer Science Department, Columbia University, New York, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Department, Columbia University, New York, NY, USA]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002881666","display_name":"Peter N. Belhumeur","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.N. Belhumeur","raw_affiliation_strings":["Computer Science Department, Columbia University, New York, NY, USA","[Computer Science Department, Columbia University, New York, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Department, Columbia University, New York, NY, USA]","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6245,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.95499566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"1287","last_page":"1302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052796840667725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5901461839675903},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5868147015571594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5523180365562439},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.48809731006622314},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4747495949268341},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4474588930606842},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42950788140296936},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42114609479904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3551878035068512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3433572053909302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3189197778701782},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17153459787368774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11084139347076416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052796840667725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5901461839675903},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5868147015571594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5523180365562439},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.48809731006622314},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4747495949268341},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4474588930606842},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42950788140296936},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42114609479904175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3551878035068512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3433572053909302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3189197778701782},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17153459787368774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11084139347076416},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010783","descriptor_name":"Photometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010783","descriptor_name":"Photometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010783","descriptor_name":"Photometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2006.170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2006.170","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:16886864","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16886864","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W37886468","https://openalex.org/W153417459","https://openalex.org/W1494645067","https://openalex.org/W1522975038","https://openalex.org/W1557590941","https://openalex.org/W1559837137","https://openalex.org/W1972541957","https://openalex.org/W1977758817","https://openalex.org/W1991135461","https://openalex.org/W1991552841","https://openalex.org/W1994338948","https://openalex.org/W2014433109","https://openalex.org/W2017622341","https://openalex.org/W2022140147","https://openalex.org/W2027828864","https://openalex.org/W2028401795","https://openalex.org/W2039402388","https://openalex.org/W2040658442","https://openalex.org/W2041621129","https://openalex.org/W2044886601","https://openalex.org/W2063366997","https://openalex.org/W2066303290","https://openalex.org/W2080246732","https://openalex.org/W2094673986","https://openalex.org/W2102862737","https://openalex.org/W2103788848","https://openalex.org/W2104587129","https://openalex.org/W2106598309","https://openalex.org/W2107699930","https://openalex.org/W2117383120","https://openalex.org/W2123921160","https://openalex.org/W2129074579","https://openalex.org/W2130470231","https://openalex.org/W2130630796","https://openalex.org/W2133385272","https://openalex.org/W2138834358","https://openalex.org/W2139598575","https://openalex.org/W2144736368","https://openalex.org/W2145178170","https://openalex.org/W2146766088","https://openalex.org/W2150810898","https://openalex.org/W2152606685","https://openalex.org/W2154208291","https://openalex.org/W2158387552","https://openalex.org/W2160126058","https://openalex.org/W2163795615","https://openalex.org/W2168922899","https://openalex.org/W2169731566","https://openalex.org/W2235136907","https://openalex.org/W2240664336","https://openalex.org/W2242284366","https://openalex.org/W2245169112","https://openalex.org/W2286014486","https://openalex.org/W2294985758","https://openalex.org/W2295511631","https://openalex.org/W2341600683","https://openalex.org/W2999953364","https://openalex.org/W3005817654","https://openalex.org/W3005895305","https://openalex.org/W3007218555","https://openalex.org/W3011813036","https://openalex.org/W3151597212","https://openalex.org/W4206747997","https://openalex.org/W4243755239","https://openalex.org/W4244829582","https://openalex.org/W4246951963","https://openalex.org/W4248025599","https://openalex.org/W4251512373","https://openalex.org/W4298876635","https://openalex.org/W4388249735","https://openalex.org/W6674082287","https://openalex.org/W6675480493","https://openalex.org/W6683300641","https://openalex.org/W6683667508","https://openalex.org/W7039695786"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W2949638731","https://openalex.org/W2951102138","https://openalex.org/W4299447939"],"abstract_inverted_index":{"Three-dimensional":[0],"appearance":[1,232],"models":[2,30,80],"consisting":[3],"of":[4,23,28,34,39,46,73,95,139,146,157,183,214,254,270,286],"spatially":[5,41,149],"varying":[6,42,150],"reflectance":[7,43,64,98,151,186,215,244,264],"functions":[8],"defined":[9],"on":[10,58,82,106,217],"a":[11,21,96,100,147,154,167,176,184,194,203,211,262,267,288],"known":[12,47],"shape":[13,48],"can":[14,188,259,278],"be":[15,110,123,189],"used":[16,124],"in":[17,166,191,196,274,282],"analysis-by-synthesis":[18],"approaches":[19,104],"to":[20,122,135,206,230,250],"number":[22,156],"visual":[24],"tasks.":[25],"The":[26],"construction":[27],"these":[29],"requires":[31],"the":[32,37,83,93,107,137,144,161,180,283],"measurement":[33],"reflectance,":[35],"and":[36,88,102,120,170,173,236],"problem":[38,162,209],"recovering":[40],"from":[44,153,248,266],"images":[45,74],"has":[49],"drawn":[50],"considerable":[51],"interest.":[52],"To":[53],"date,":[54],"existing":[55,140],"methods":[56,141],"rely":[57],"either:":[59],"(1)":[60],"low-dimensional":[61],"(e.g.,":[62],"parametric)":[63],"models,":[65],"or":[66],"(2)":[67],"large":[68],"data":[69],"sets":[70],"involving":[71],"thousands":[72],"(or":[75],"more)":[76],"per":[77],"object.":[78],"Appearance":[79],"based":[81,105,216],"former":[84],"have":[85],"limited":[86],"accuracy":[87,182],"generality":[89],"since":[90,243],"they":[91,115],"require":[92],"selection":[94],"specific":[97],"model":[99],"priori,":[101],"while":[103],"latter":[108],"may":[109],"suitable":[111],"for":[112,125,193],"certain":[113],"applications,":[114],"are":[116],"generally":[117],"too":[118],"costly":[119],"cumbersome":[121],"image":[126],"analysis.":[127],"We":[128,159,200],"present":[129,175,202],"an":[130,255],"alternative":[131],"approach":[132],"that":[133,179,242],"seeks":[134],"combine":[136],"benefits":[138],"by":[142,226],"enabling":[143],"estimation":[145],"nonparametric":[148,263],"function":[152,187,265],"small":[155],"images.":[158,271],"frame":[160],"as":[163],"scattered-data":[164],"interpolation":[165,208],"mixed":[168],"spatial":[169,198],"angular":[171,181],"domain,":[172],"we":[174,258,277],"theory":[177],"demonstrating":[178],"recovered":[185],"increased":[190],"exchange":[192],"decrease":[195],"its":[197,228],"resolution.":[199],"also":[201],"practical":[204],"solution":[205],"this":[207],"using":[210],"new":[212],"representation":[213,222],"radial":[218],"basis":[219],"functions.":[220],"This":[221],"is":[223],"evaluated":[224],"experimentally":[225],"testing":[227],"ability":[229],"predict":[231],"under":[233],"novel":[234],"view":[235],"lighting":[237],"conditions.":[238],"Our":[239],"results":[240,281],"suggest":[241],"typically":[245],"varies":[246],"slowly":[247],"point":[249,251],"over":[252],"much":[253],"object's":[256],"surface,":[257],"often":[260],"obtain":[261,279],"sparse":[268],"set":[269],"In":[272],"fact,":[273],"some":[275],"cases,":[276],"reasonable":[280],"limiting":[284],"case":[285],"only":[287],"single":[289],"input":[290],"image.":[291]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":8}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
