{"id":"https://openalex.org/W2344547436","doi":"https://doi.org/10.1109/vcip.2015.7457895","title":"Automatic foreground segmentation using light field images","display_name":"Automatic foreground segmentation using light field images","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2344547436","doi":"https://doi.org/10.1109/vcip.2015.7457895","mag":"2344547436"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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/A5053676752","display_name":"Xianyu Chen","orcid":"https://orcid.org/0000-0002-9027-3920"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyu Chen","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, Haidian District, China","University of Chinese Academy of Sciences, Beijing, China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, Haidian District, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028926076","display_name":"Feng Dai","orcid":"https://orcid.org/0000-0002-6660-6166"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Dai","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, Haidian District, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, Haidian District, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031604002","display_name":"Yike Ma","orcid":"https://orcid.org/0009-0009-5590-7973"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yike Ma","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, Haidian District, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, Haidian District, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["CAS, Institute of Computing Technology, Beijing, Haidian District, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS, Institute of Computing Technology, Beijing, Haidian District, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8058056831359863},{"id":"https://openalex.org/keywords/camouflage","display_name":"Camouflage","score":0.7696894407272339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7567348480224609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435448169708252},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7161331176757812},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6281635165214539},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5743446350097656},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4971916973590851},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4881149232387543},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4239605665206909},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41851913928985596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3397446274757385},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.05546817183494568}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8058056831359863},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.7696894407272339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7567348480224609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435448169708252},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7161331176757812},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6281635165214539},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5743446350097656},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4971916973590851},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4881149232387543},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4239605665206909},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41851913928985596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3397446274757385},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.05546817183494568},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2015.7457895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1525012023","https://openalex.org/W1968058417","https://openalex.org/W2039298799","https://openalex.org/W2039366193","https://openalex.org/W2067191022","https://openalex.org/W2075858473","https://openalex.org/W2077582148","https://openalex.org/W2106524364","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2137313943","https://openalex.org/W2138156462","https://openalex.org/W2167499379","https://openalex.org/W2168753605","https://openalex.org/W2294819727","https://openalex.org/W3122876192","https://openalex.org/W6680152570"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W2088651901","https://openalex.org/W2897997384"],"abstract_inverted_index":{"Foreground":[0],"segmentation":[1,11,51],"is":[2,75,93],"a":[3,87],"fundamental":[4],"method":[5,85],"in":[6,62,96],"computer":[7],"vision.":[8],"Traditional":[9],"foreground":[10,21,50,79],"algorithms":[12],"are":[13],"sensitive":[14],"to":[15,77],"blurry":[16],"degree":[17],"of":[18],"background,":[19],"smooth":[20],"regions":[22],"and":[23,65,92],"camouflage":[24],"foreground.":[25,100],"To":[26],"deal":[27],"with":[28],"these":[29],"problems,":[30],"we":[31,46,58],"use":[32],"light":[33,54],"field":[34,55],"images":[35],"as":[36],"input":[37],"by":[38],"exploiting":[39],"its":[40],"focusness":[41,60],"cue.":[42],"In":[43],"this":[44],"paper,":[45],"propose":[47],"an":[48],"automatic":[49],"algorithm":[52],"for":[53],"images.":[56,69],"Firstly":[57],"calculate":[59],"measures":[61],"refocused":[63],"stack":[64],"oversegment":[66],"all":[67],"focus":[68],"Then":[70],"the":[71],"graph":[72],"cut":[73],"framework":[74],"introduced":[76],"generate":[78],"result.":[80],"Experiments":[81],"show":[82],"that":[83],"our":[84],"has":[86],"superior":[88],"performance":[89],"against":[90],"counterparts":[91],"more":[94],"robust":[95],"scenes":[97],"like":[98],"ambiguous":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
