{"id":"https://openalex.org/W2150452260","doi":"https://doi.org/10.1109/iccvw.2011.6130334","title":"Illumination estimation from shadow borders","display_name":"Illumination estimation from shadow borders","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2150452260","doi":"https://doi.org/10.1109/iccvw.2011.6130334","mag":"2150452260"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5110254980","display_name":"Alexandros Panagopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexandros Panagopoulos","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047566533","display_name":"Tom\u00e1s F. Yago Vicente","orcid":"https://orcid.org/0000-0002-4245-6941"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomas F. Yago Vicente","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076307452","display_name":"Dimitris Samaras","orcid":"https://orcid.org/0000-0002-1373-0294"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Samaras","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110254980"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.5227,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71382338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"798","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9948999881744385,"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":0.9896000027656555,"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/shadow","display_name":"Shadow (psychology)","score":0.8747344017028809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839064359664917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746885776519775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6142914295196533},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5782158374786377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5691657066345215},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.5634602904319763},{"id":"https://openalex.org/keywords/shadow-mapping","display_name":"Shadow mapping","score":0.5616748332977295},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5355901718139648},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5140272378921509},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49907374382019043},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4845113158226013},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43612992763519287},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4360715448856354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28672072291374207},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08508041501045227}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8747344017028809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839064359664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746885776519775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6142914295196533},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5782158374786377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5691657066345215},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.5634602904319763},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.5616748332977295},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5355901718139648},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5140272378921509},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49907374382019043},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4845113158226013},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43612992763519287},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4360715448856354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28672072291374207},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08508041501045227},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.220.9508","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sunysb.edu/%7Eial/content/papers/2011/panagop_iccv11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1884470205","https://openalex.org/W1914524668","https://openalex.org/W1973660841","https://openalex.org/W2023151535","https://openalex.org/W2027850463","https://openalex.org/W2103127056","https://openalex.org/W2106822035","https://openalex.org/W2109186531","https://openalex.org/W2116143083","https://openalex.org/W2122514671","https://openalex.org/W2123302273","https://openalex.org/W2129404650","https://openalex.org/W2134915967","https://openalex.org/W2149550213","https://openalex.org/W2151861336","https://openalex.org/W2160477239","https://openalex.org/W2166502676","https://openalex.org/W2168922899","https://openalex.org/W2296249689","https://openalex.org/W2544806203","https://openalex.org/W6639380560","https://openalex.org/W6679232835","https://openalex.org/W6681979930"],"related_works":["https://openalex.org/W1504907250","https://openalex.org/W1518796764","https://openalex.org/W347294048","https://openalex.org/W4387143966","https://openalex.org/W2118841422","https://openalex.org/W4200295500","https://openalex.org/W2743826367","https://openalex.org/W2226908759","https://openalex.org/W2031094984","https://openalex.org/W2061881449"],"abstract_inverted_index":{"In":[0,74],"this":[1,102,162],"paper":[2],"we":[3],"discuss":[4],"illumination":[5,29,39,57,77,125],"estimation":[6,30,78,126],"from":[7],"a":[8,36,51],"single":[9],"image":[10,99],"in":[11,117],"general":[12],"scenes":[13],"and":[14,56,97,171],"associate":[15],"it":[16],"with":[17,40,132,165],"the":[18,41,62,71,82,90,93,110,118,136,139,159],"existence":[19],"of":[20,38,45,64,84,113,138,161],"shadow":[21,55,65,95,115],"edges,":[22],"avoiding":[23],"several":[24],"pitfalls":[25],"that":[26,67,88,128],"burden":[27],"previous":[28],"approaches,":[31],"which":[32],"rely":[33],"on":[34,61,130,168,174],"associating":[35],"parametrization":[37],"per":[42],"pixel":[43],"intensity":[44],"shadows":[46],"or":[47,133],"shading.":[48],"We":[49,157],"show":[50],"way":[52],"to":[53,70,108,123],"couple":[54],"estimation,":[58],"relying":[59],"only":[60],"subset":[63],"edges":[66,116],"is":[68,79,105,146],"relevant":[69],"provided":[72],"geometry.":[73],"our":[75],"approach,":[76],"posed":[80],"as":[81],"minimization":[83],"an":[85,124],"energy":[86,103],"function":[87,104],"penalizes":[89],"matching":[91],"between":[92],"expected":[94],"outline":[96],"observed":[98],"edges.":[100],"Minimizing":[101],"strongly":[106],"tied":[107],"selecting":[109],"appropriate":[111],"set":[112],"potential":[114],"image.":[119],"Our":[120],"approach":[121,163],"leads":[122],"algorithm":[127],"performs":[129],"par":[131],"better":[134],"than":[135,154],"state":[137],"art,":[140],"even":[141],"when":[142],"scene":[143],"geometry":[144],"knowledge":[145],"limited,":[147],"while":[148],"having":[149],"much":[150],"lower":[151],"computational":[152],"complexity":[153],"state-of-the-art":[155],"methods.":[156],"demonstrate":[158],"effectiveness":[160],"both":[164],"quantitative":[166],"results":[167],"synthetic":[169],"data":[170],"qualitative":[172],"evaluation":[173],"real":[175],"images.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
