{"id":"https://openalex.org/W3139400630","doi":"https://doi.org/10.1145/1276377.1276417","title":"Digital bas-relief from 3D scenes","display_name":"Digital bas-relief from 3D scenes","publication_year":2007,"publication_date":"2007-07-29","ids":{"openalex":"https://openalex.org/W3139400630","doi":"https://doi.org/10.1145/1276377.1276417","mag":"3139400630"},"language":"en","primary_location":{"id":"doi:10.1145/1276377.1276417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276377.1276417","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5016878682","display_name":"Tim Weyrich","orcid":"https://orcid.org/0000-0002-4322-8844"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tim Weyrich","raw_affiliation_strings":["Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101542158","display_name":"Jia Deng","orcid":"https://orcid.org/0000-0001-9594-4554"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Deng","raw_affiliation_strings":["Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083898813","display_name":"Connelly Barnes","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connelly Barnes","raw_affiliation_strings":["Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021634773","display_name":"Szymon Rusinkiewicz","orcid":"https://orcid.org/0000-0002-4253-2588"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Szymon Rusinkiewicz","raw_affiliation_strings":["Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034842939","display_name":"Adam Finkelstein","orcid":"https://orcid.org/0000-0001-9422-5363"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Finkelstein","raw_affiliation_strings":["Princeton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016878682"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":4.6056,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.9523576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"26","issue":"3","first_page":"32","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.6160068511962891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6089985370635986},{"id":"https://openalex.org/keywords/illusion","display_name":"Illusion","score":0.6004668474197388},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5937367081642151},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.588214099407196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437873005867004},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5212857723236084},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.4975934326648712},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45390263199806213},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41309860348701477},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.26598531007766724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20460361242294312},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14280351996421814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160068511962891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6089985370635986},{"id":"https://openalex.org/C184047640","wikidata":"https://www.wikidata.org/wiki/Q182593","display_name":"Illusion","level":2,"score":0.6004668474197388},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5937367081642151},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.588214099407196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437873005867004},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5212857723236084},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.4975934326648712},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45390263199806213},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41309860348701477},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.26598531007766724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20460361242294312},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14280351996421814},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1276377.1276417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276377.1276417","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1493846495","https://openalex.org/W1505157952","https://openalex.org/W1539790409","https://openalex.org/W1969633245","https://openalex.org/W1993414374","https://openalex.org/W2011681858","https://openalex.org/W2016611327","https://openalex.org/W2023292900","https://openalex.org/W2026858852","https://openalex.org/W2030420539","https://openalex.org/W2042728437","https://openalex.org/W2137391696","https://openalex.org/W2164716550","https://openalex.org/W2235424849","https://openalex.org/W2240434622","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W3000113330","https://openalex.org/W6609779401"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2008675431","https://openalex.org/W2115969764","https://openalex.org/W2028994033","https://openalex.org/W2404808571","https://openalex.org/W1965307097","https://openalex.org/W2060467497","https://openalex.org/W287816001","https://openalex.org/W2130934173"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,39,73,107,112,128,139,146],"system":[3,126],"for":[4],"semi-automatic":[5],"creation":[6],"of":[7,35,50,71,97,119,134],"bas-relief":[8,90],"sculpture.":[9,26],"As":[10],"an":[11],"artistic":[12],"medium,":[13],"relief":[14,129],"spans":[15],"the":[16,32,48,51,63,68,79,89,116,123,132,135],"continuum":[17],"between":[18],"2D":[19],"drawing":[20],"or":[21],"painting":[22],"and":[23,111],"full":[24,52],"3D":[25,53,108,136],"Bas-relief":[27],"(or":[28],"low":[29],"relief)":[30],"presents":[31],"unique":[33,95],"challenge":[34],"squeezing":[36,72],"shapes":[37],"into":[38,78],"nearly-flat":[40],"surface":[41],"while":[42,143],"maintaining":[43,101],"as":[44,46,100],"much":[45],"possible":[47],"perception":[49],"scene.":[54],"Our":[55],"solution":[56],"to":[57,145],"this":[58],"problem":[59,70],"adapts":[60],"methods":[61],"from":[62,138],"tone-mapping":[64],"literature,":[65],"which":[66],"addresses":[67],"similar":[69],"high":[74],"dynamic":[75,81],"range":[76,82],"image":[77],"(low)":[80],"available":[83],"on":[84],"typical":[85],"display":[86],"devices.":[87],"However,":[88],"medium":[91],"imposes":[92],"its":[93],"own":[94],"set":[96],"requirements,":[98],"such":[99],"small,":[102],"fixed-size":[103],"depth":[104],"discontinuities.":[105],"Given":[106],"model,":[109],"camera,":[110],"few":[113],"parameters":[114],"describing":[115],"relative":[117],"attenuation":[118],"different":[120],"frequencies":[121],"in":[122],"shape,":[124],"our":[125],"creates":[127],"that":[130],"gives":[131],"illusion":[133],"shape":[137],"given":[140],"vantage":[141],"point":[142],"conforming":[144],"greatly":[147],"compressed":[148],"height.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
