{"id":"https://openalex.org/W2963740341","doi":"https://doi.org/10.1109/ssiai.2018.8470343","title":"A Reflectance Based Method For Shadow Detection and Removal","display_name":"A Reflectance Based Method For Shadow Detection and Removal","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2963740341","doi":"https://doi.org/10.1109/ssiai.2018.8470343","mag":"2963740341"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2018.8470343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"},"type":"preprint","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/A5104651973","display_name":"Sri Kalyan Yarlagadda","orcid":"https://orcid.org/0000-0003-4729-6841"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sri Kalyan Yarlagadda","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001380619","display_name":"Fengqing Zhu","orcid":"https://orcid.org/0000-0002-3863-3220"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengqing Zhu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104651973"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.86629524,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75416964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"6312","issue":null,"first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9945999979972839,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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":0.8730069398880005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8061308860778809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.784844160079956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518882155418396},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6533282399177551},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5702041983604431},{"id":"https://openalex.org/keywords/shadow-mapping","display_name":"Shadow mapping","score":0.5480915307998657},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4815714359283447},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13755947351455688},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.053745001554489136}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8730069398880005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8061308860778809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.784844160079956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518882155418396},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6533282399177551},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5702041983604431},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.5480915307998657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4815714359283447},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13755947351455688},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.053745001554489136},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2018.8470343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1884470205","https://openalex.org/W1967913888","https://openalex.org/W2027850463","https://openalex.org/W2097244687","https://openalex.org/W2119823327","https://openalex.org/W2134285296","https://openalex.org/W2176911336","https://openalex.org/W2252574053","https://openalex.org/W2512050971","https://openalex.org/W2528018896","https://openalex.org/W2544806203","https://openalex.org/W6630399218","https://openalex.org/W6639380560"],"related_works":["https://openalex.org/W1504907250","https://openalex.org/W4387143966","https://openalex.org/W4200295500","https://openalex.org/W2031094984","https://openalex.org/W2316352747","https://openalex.org/W2557434884","https://openalex.org/W2554280219","https://openalex.org/W2161595967","https://openalex.org/W2353014491","https://openalex.org/W2743826367"],"abstract_inverted_index":{"Shadows":[0],"are":[1,49],"common":[2],"aspect":[3],"of":[4,90],"images":[5,92],"and":[6,14,38,44,53,65],"when":[7],"left":[8],"undetected":[9],"can":[10],"hinder":[11],"scene":[12],"understanding":[13],"visual":[15],"processing.":[16],"We":[17,86],"propose":[18],"a":[19],"simple":[20],"yet":[21],"effective":[22],"approach":[23],"based":[24,39],"on":[25,40,61],"reflectance":[26],"to":[27,78],"detect":[28],"shadows":[29,76],"from":[30],"single":[31],"image.":[32],"An":[33],"image":[34],"is":[35,59],"first":[36],"segmented":[37],"the":[41,95,98],"reflectance,":[42],"illumination":[43],"texture":[45],"characteristics,":[46],"segments":[47],"pairs":[48],"identified":[50],"as":[51],"shadow":[52,100],"non-shadow":[54],"pairs.":[55],"The":[56],"proposed":[57],"method":[58,70],"tested":[60],"two":[62],"publicly":[63],"available":[64],"widely":[66],"used":[67],"datasets.":[68],"Our":[69],"achieves":[71],"higher":[72],"accuracy":[73],"in":[74,97],"detecting":[75],"compared":[77],"previous":[79],"reported":[80],"methods":[81],"despite":[82],"requiring":[83],"fewer":[84],"parameters.":[85],"also":[87],"show":[88],"results":[89],"shadow-free":[91],"by":[93],"relighting":[94],"pixels":[96],"detected":[99],"regions.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}