{"id":"https://openalex.org/W2890786731","doi":"https://doi.org/10.1109/icip.2018.8451848","title":"Silhouette Enhancement in Light Field Disparity Estimation Using the Structure Tensor","display_name":"Silhouette Enhancement in Light Field Disparity Estimation Using the Structure Tensor","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890786731","doi":"https://doi.org/10.1109/icip.2018.8451848","mag":"2890786731"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5032301140","display_name":"Rui Lourenco","orcid":"https://orcid.org/0000-0002-4439-8167"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Lourenco","raw_affiliation_strings":["Instituto Politecnico de Leiria / ESTG, Leiria, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Politecnico de Leiria / ESTG, Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025962039","display_name":"Pedro Assun\u00e7\u00e3o","orcid":"https://orcid.org/0000-0001-9539-8311"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro A.A. Assuncao","raw_affiliation_strings":["Instituto Politecnico de Leiria / ESTG, Leiria, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Politecnico de Leiria / ESTG, Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019228689","display_name":"L. Tavora","orcid":"https://orcid.org/0000-0002-8580-1979"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis M.N. Tavora","raw_affiliation_strings":["Instituto de Telecomunicacoes, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicacoes, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038906447","display_name":"Rui Fonseca-Pinto","orcid":"https://orcid.org/0000-0001-6774-5363"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Fonseca-Pinto","raw_affiliation_strings":["Instituto Politecnico de Leiria / ESTG, Leiria, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Politecnico de Leiria / ESTG, Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016506001","display_name":"S\u00e9rgio M. M. de Faria","orcid":"https://orcid.org/0000-0002-0993-9124"},"institutions":[{"id":"https://openalex.org/I169427155","display_name":"Instituto Polit\u00e9cnico de Leiria","ror":"https://ror.org/010dvvh94","country_code":"PT","type":"education","lineage":["https://openalex.org/I169427155"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Sergio M.M. Faria","raw_affiliation_strings":["Instituto Politecnico de Leiria / ESTG, Leiria, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Politecnico de Leiria / ESTG, Leiria, Portugal","institution_ids":["https://openalex.org/I169427155"]}]}],"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":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"97","issue":null,"first_page":"2580","last_page":"2584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9969000220298767,"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/silhouette","display_name":"Silhouette","score":0.978122889995575},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.8187316656112671},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.6760777235031128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667803525924683},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6265127658843994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6079343557357788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4680478274822235},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42167600989341736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4158089756965637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3367130756378174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23600775003433228},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20580622553825378}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.978122889995575},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.8187316656112671},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.6760777235031128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667803525924683},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6265127658843994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6079343557357788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4680478274822235},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42167600989341736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4158089756965637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3367130756378174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23600775003433228},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20580622553825378},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":20,"referenced_works":["https://openalex.org/W1545934923","https://openalex.org/W1914596733","https://openalex.org/W1968872078","https://openalex.org/W2035773017","https://openalex.org/W2042687553","https://openalex.org/W2062584722","https://openalex.org/W2063366997","https://openalex.org/W2064586097","https://openalex.org/W2111308925","https://openalex.org/W2113752546","https://openalex.org/W2128359381","https://openalex.org/W2149694199","https://openalex.org/W2211024058","https://openalex.org/W2289524987","https://openalex.org/W2562124096","https://openalex.org/W2591697814","https://openalex.org/W2741694910","https://openalex.org/W2753230437","https://openalex.org/W6632552969","https://openalex.org/W6676770471"],"related_works":["https://openalex.org/W2890786731","https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2015754241","https://openalex.org/W1997494252","https://openalex.org/W3174244707","https://openalex.org/W3206725971","https://openalex.org/W2052072320","https://openalex.org/W2385280846","https://openalex.org/W2944675036"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,47,78],"method":[4,33,76],"to":[5,20],"improve":[6],"disparity":[7,51,85,94,114],"maps":[8],"computed":[9,54,102],"from":[10],"light":[11,70],"field":[12],"images":[13,66],"using":[14,99],"structure":[15,57,105,138],"tensor":[16,106],"methods,":[17],"which":[18],"tend":[19],"expand":[21],"the":[22,25,36,42,50,56,62,69,84,89,113,125,137],"borders":[23],"of":[24,41,61],"occluding":[26],"objects,":[27],"enlarging":[28],"their":[29],"silhouette.":[30],"The":[31,72,93,108],"proposed":[32,73],"relies":[34],"on":[35,136],"fact":[37],"that":[38,112],"such":[39],"regions":[40],"silhouette":[43,74,91],"are":[44],"defined":[45],"by":[46,55,98,127],"mismatch":[48],"between":[49,80],"map":[52,86,95,115],"edges,":[53,87],"tensor,":[58],"and":[59,83,122],"those":[60],"corresponding":[63],"epipolar":[64],"plane":[65],"(EPI)":[67],"representing":[68],"field.":[71],"improvement":[75],"determines":[77],"correspondence":[79],"EPI":[81],"edges":[82,121],"identifying":[88],"erroneous":[90],"regions.":[92],"is":[96,116],"corrected":[97],"neighbouring":[100],"values":[101],"with":[103,131],"high":[104],"reliability.":[107],"achieved":[109],"results":[110],"show":[111],"improved":[117],"both":[118],"around":[119],"object":[120],"overall,":[123],"reducing":[124],"MSE":[126],"47.9%":[128],"in":[129],"comparison":[130],"other":[132],"methods":[133],"also":[134],"based":[135],"tensor.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
