{"id":"https://openalex.org/W2540792384","doi":"https://doi.org/10.1109/wifs.2015.7368587","title":"Improved 3D lighting environment estimation for image forgery detection","display_name":"Improved 3D lighting environment estimation for image forgery detection","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2540792384","doi":"https://doi.org/10.1109/wifs.2015.7368587","mag":"2540792384"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2015.7368587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2015.7368587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100772365","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0001-6956-6553"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757829","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8598-0831"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739941","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0003-3489-6661"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Dong","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074137007","display_name":"Tieniu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieniu Tan","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":2.0275,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93726197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9837999939918518,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7438468933105469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391882538795471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.714848518371582},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.540263295173645},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5338417887687683},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5045398473739624},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.49947381019592285},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.45798149704933167},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.41685763001441956},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4115085005760193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16441228985786438}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7438468933105469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391882538795471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.714848518371582},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.540263295173645},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5338417887687683},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5045398473739624},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.49947381019592285},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.45798149704933167},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.41685763001441956},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4115085005760193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16441228985786438},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs.2015.7368587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2015.7368587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1564611446","https://openalex.org/W1590954115","https://openalex.org/W1597357606","https://openalex.org/W1762781077","https://openalex.org/W1935685005","https://openalex.org/W1957293065","https://openalex.org/W1983586459","https://openalex.org/W2003706019","https://openalex.org/W2020025433","https://openalex.org/W2021465448","https://openalex.org/W2043470575","https://openalex.org/W2068575457","https://openalex.org/W2081698350","https://openalex.org/W2082226604","https://openalex.org/W2099478163","https://openalex.org/W2111999986","https://openalex.org/W2113771494","https://openalex.org/W2115252128","https://openalex.org/W2120392408","https://openalex.org/W2123921160","https://openalex.org/W2140117117","https://openalex.org/W2155211928","https://openalex.org/W2155319953","https://openalex.org/W2157285372","https://openalex.org/W2160126058","https://openalex.org/W2165916500","https://openalex.org/W2170464076","https://openalex.org/W2237250383","https://openalex.org/W2237646172","https://openalex.org/W2281375574","https://openalex.org/W2509971128","https://openalex.org/W2543923489","https://openalex.org/W2547589364","https://openalex.org/W2912990735","https://openalex.org/W4285719527","https://openalex.org/W6655369488","https://openalex.org/W6661168728","https://openalex.org/W6676415577"],"related_works":["https://openalex.org/W1964872188","https://openalex.org/W2187391117","https://openalex.org/W1981809986","https://openalex.org/W2949367465","https://openalex.org/W2587048717","https://openalex.org/W2912909874","https://openalex.org/W4288573727","https://openalex.org/W2494876756","https://openalex.org/W2768754015","https://openalex.org/W2981448761"],"abstract_inverted_index":{"3D":[0,50],"lighting":[1,22,51,107],"environment":[2,23,52,108],"is":[3,85],"an":[4,8,48],"important":[5],"clue":[6],"in":[7],"image":[9,15],"that":[10,100],"can":[11,104],"be":[12],"used":[13],"for":[14,88],"forgery":[16,119],"detection.":[17],"Existing":[18],"forensic":[19],"methods":[20],"exploring":[21],"consistency":[24],"are":[25,39,94],"based":[26,55],"on":[27,56],"many":[28],"assumptions,":[29],"among":[30],"which":[31,93],"convexity":[32],"and":[33,73,96,116],"constant":[34],"reflectance":[35],"of":[36],"the":[37,65,70,101,113],"surface":[38,60],"two":[40,66],"critical":[41],"ones.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"improved":[49,106],"estimation":[53,109],"method":[54,103,115],"a":[57],"more":[58,86],"general":[59],"reflection":[61,80],"model.":[62,81],"We":[63],"relax":[64],"assumptions":[67],"by":[68],"incorporating":[69],"local":[71],"geometry":[72],"texture":[74],"information":[75],"into":[76],"our":[77],"position":[78],"dependent":[79],"The":[82],"proposed":[83,102],"model":[84],"realistic":[87],"objects":[89],"like":[90],"human":[91],"faces":[92],"non-convex":[95],"textured.":[97],"Experiments":[98],"show":[99],"achieve":[105],"accuracy":[110],"compared":[111],"to":[112],"previous":[114],"has":[117],"better":[118],"detection":[120],"efficacy.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
