{"id":"https://openalex.org/W3209035055","doi":"https://doi.org/10.2312/gch.20211412","title":"Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs","display_name":"Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3209035055","doi":"https://doi.org/10.2312/gch.20211412","mag":"3209035055"},"language":"en","primary_location":{"id":"doi:10.2312/gch.20211412","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20211412","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/gch.20211412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066740670","display_name":"Ruggero Pintus","orcid":"https://orcid.org/0000-0003-1786-7068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pintus, Ruggero","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028867106","display_name":"Moonisa Ahsan","orcid":"https://orcid.org/0000-0003-0688-3919"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahsan, Moonisa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064723143","display_name":"Fabio Marton","orcid":"https://orcid.org/0000-0001-8611-1921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marton, Fabio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009229122","display_name":"Enrico Gobbetti","orcid":"https://orcid.org/0000-0003-0831-2458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gobbetti, Enrico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1407,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50945634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9420999884605408,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161920428276062},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6021664142608643},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5760983824729919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5561566352844238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5247818827629089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.403984010219574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39993271231651306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27063700556755066}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161920428276062},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6021664142608643},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5760983824729919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5561566352844238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247818827629089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.403984010219574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39993271231651306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27063700556755066}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/gch.20211412","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20211412","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3209035055","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/gch20211412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/gch.20211412","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20211412","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2249647739","https://openalex.org/W2920361923","https://openalex.org/W2984210651","https://openalex.org/W2973103935","https://openalex.org/W2065133960","https://openalex.org/W2361804841","https://openalex.org/W2025075061","https://openalex.org/W1993782046","https://openalex.org/W2117686711","https://openalex.org/W583340156","https://openalex.org/W2104149118","https://openalex.org/W2154859065","https://openalex.org/W2159513226","https://openalex.org/W19668778","https://openalex.org/W2017532052","https://openalex.org/W1596138269","https://openalex.org/W2127925852","https://openalex.org/W2141403960","https://openalex.org/W2059753722","https://openalex.org/W2159970171"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,7,35,45,48,54,61,72],"practical":[3],"solution":[4],"to":[5,82],"create":[6],"relightable":[8],"model":[9],"from":[10,68,94],"Multi-light":[11],"Image":[12],"Collections":[13],"(MLICs)":[14],"acquired":[15],"using":[16,53],"standard":[17],"acquisition":[18],"pipelines.":[19],"The":[20,98],"approach":[21],"targets":[22],"the":[23,31,113],"difficult":[24],"but":[25,37],"very":[26],"common":[27],"situation":[28],"in":[29,112],"which":[30],"optical":[32],"behavior":[33],"of":[34,115],"flat,":[36],"visually":[38],"and":[39,76,102,109],"geometrically":[40],"rich":[41],"object,":[42],"such":[43],"as":[44],"painting":[46],"or":[47],"bas":[49],"relief,":[50],"is":[51,100],"measured":[52],"fixed":[55],"camera":[56],"taking":[57],"few":[58,95],"images":[59],"with":[60],"different":[62],"local":[63],"illumination.":[64],"By":[65],"exploiting":[66],"information":[67],"neighboring":[69],"pixels":[70],"through":[71],"carefully":[73],"crafted":[74],"weighting":[75],"regularization":[77],"scheme,":[78],"we":[79],"are":[80],"able":[81],"efficiently":[83],"infer":[84],"subtle":[85],"per-pixel":[86,96],"analytical":[87],"Bidirectional":[88],"Reflectance":[89],"Distribution":[90],"Functions":[91],"(BRDFs)":[92],"representations":[93],"samples.":[97],"method":[99],"qualitatively":[101],"quantitatively":[103],"evaluated":[104],"on":[105],"both":[106],"synthetic":[107],"data":[108],"real":[110],"paintings":[111],"scope":[114],"image-based":[116],"relighting":[117],"applications.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}