{"id":"https://openalex.org/W1554222634","doi":"https://doi.org/10.1109/fcv.2015.7103713","title":"Variation of edge detection uncertainty on fish-eye images","display_name":"Variation of edge detection uncertainty on fish-eye images","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1554222634","doi":"https://doi.org/10.1109/fcv.2015.7103713","mag":"1554222634"},"language":"en","primary_location":{"id":"doi:10.1109/fcv.2015.7103713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2015.7103713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","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/A5109928687","display_name":"Kenji Terabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenji Terabayashi","raw_affiliation_strings":["Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","Department of Mechanical Engineering , Shizuoka University , Hamamatsu , Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Department of Mechanical Engineering , Shizuoka University , Hamamatsu , Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109546405","display_name":"Takaaki OIWA","orcid":"https://orcid.org/0000-0001-8306-8059"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takaaki Oiwa","raw_affiliation_strings":["Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","Department of Mechanical Engineering , Shizuoka University , Hamamatsu , Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Department of Mechanical Engineering , Shizuoka University , Hamamatsu , Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854260","display_name":"Kazunori Umeda","orcid":"https://orcid.org/0000-0002-4458-4648"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]},{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Umeda","raw_affiliation_strings":["Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","Department of Precision Mechanics, Chuo University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shizuoka University, Hamamatsu, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Department of Precision Mechanics, Chuo University, Tokyo, Japan","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109928687"],"corresponding_institution_ids":["https://openalex.org/I1298590031"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02984825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"j93 d","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/pixel","display_name":"Pixel","score":0.7567868232727051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6898143291473389},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.6621142625808716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.634238064289093},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6122725009918213},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5703060626983643},{"id":"https://openalex.org/keywords/human-eye","display_name":"Human eye","score":0.5381117463111877},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5229588150978088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49408701062202454},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.44915878772735596},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4173976480960846},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4024829566478729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34364476799964905},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.13777482509613037},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10734525322914124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09843146800994873}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7567868232727051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6898143291473389},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.6621142625808716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.634238064289093},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6122725009918213},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5703060626983643},{"id":"https://openalex.org/C2781427961","wikidata":"https://www.wikidata.org/wiki/Q430024","display_name":"Human eye","level":2,"score":0.5381117463111877},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5229588150978088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49408701062202454},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.44915878772735596},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4173976480960846},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4024829566478729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34364476799964905},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.13777482509613037},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10734525322914124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09843146800994873},{"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/fcv.2015.7103713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2015.7103713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","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":8,"referenced_works":["https://openalex.org/W36923225","https://openalex.org/W1495197699","https://openalex.org/W1554208073","https://openalex.org/W2005503614","https://openalex.org/W2022018587","https://openalex.org/W2073709276","https://openalex.org/W2086018246","https://openalex.org/W2145023731"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W3088977096","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"This":[0,37],"paper":[1,46],"reports":[2],"that":[3,59],"uncertainty":[4,61],"of":[5,24,53,62,71],"detected":[6],"edges":[7],"on":[8,13,65],"a":[9,29],"fish-eye":[10,21,54,66],"image":[11],"depends":[12],"the":[14,18,34,60,72],"direction":[15],"to":[16,28],"observe":[17],"edges.":[19],"In":[20],"cameras,":[22],"dimensions":[23],"observation":[25],"space":[26],"corresponding":[27],"pixel":[30,35],"greatly":[31],"change":[32],"with":[33,49,69],"location.":[36],"dimension":[38],"is":[39],"defined":[40],"as":[41],"\u201cspatial":[42],"uncertainty\u201d":[43],"in":[44],"this":[45],"and":[47],"formulated":[48],"typical":[50],"projection":[51],"models":[52],"cameras.":[55],"Experimental":[56],"results":[57],"showed":[58],"edge":[63],"detection":[64],"images":[67],"increased":[68],"increase":[70],"spatial":[73],"uncertainty.":[74]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
