{"id":"https://openalex.org/W2906945745","doi":"https://doi.org/10.1109/iecon.2018.8591128","title":"Generation of Multi-Level Disparity Map from Stereo Wide Angle Fovea Vision System","display_name":"Generation of Multi-Level Disparity Map from Stereo Wide Angle Fovea Vision System","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2906945745","doi":"https://doi.org/10.1109/iecon.2018.8591128","mag":"2906945745"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2018.8591128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2018.8591128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","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/A5067622075","display_name":"Naoaki Kameyama","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoaki Kameyama","raw_affiliation_strings":["School of Science and Technology, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112678712","display_name":"Sota Shimizu","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sota Shimizu","raw_affiliation_strings":["Dept. of Design and Engineering, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Design and Engineering, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002104348","display_name":"Rei Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rei Murakami","raw_affiliation_strings":["School of Science and Technology, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027380144","display_name":"Motonori Tominaga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Motonori Tominaga","raw_affiliation_strings":["Reaserch Devison 2, 21 Laboratry, Nisshin, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserch Devison 2, 21 Laboratry, Nisshin, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085164052","display_name":"Osamu Shimomura","orcid":"https://orcid.org/0000-0002-1735-5057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osamu Shimomura","raw_affiliation_strings":["Reaserch Devison 2, 21 Laboratry, Nisshin, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserch Devison 2, 21 Laboratry, Nisshin, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008132206","display_name":"Yusuke Akamine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuke Akamine","raw_affiliation_strings":["Reaserch Devison 2, 21 Laboratry, Nisshin, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserch Devison 2, 21 Laboratry, Nisshin, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104581890","display_name":"Naoki Kawasaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naoki Kawasaki","raw_affiliation_strings":["Reaserch Devison 2, 21 Laboratry, Nisshin, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserch Devison 2, 21 Laboratry, Nisshin, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087110386","display_name":"Kazuhisa Ishimaru","orcid":"https://orcid.org/0000-0002-8300-647X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuhisa Ishimaru","raw_affiliation_strings":["Reaserch Devison 2, 21 Laboratry, Nisshin, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reaserch Devison 2, 21 Laboratry, Nisshin, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112282385","display_name":"Seiichi Mita","orcid":null},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Mita","raw_affiliation_strings":["Smart Vehicle Center, Toyota Institute of Technology, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Vehicle Center, Toyota Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]}]}],"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":null,"issue":null,"first_page":"5451","last_page":"5456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8324952125549316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8193461298942566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316898107528687},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5941534638404846},{"id":"https://openalex.org/keywords/peripheral-vision","display_name":"Peripheral vision","score":0.5802015066146851},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5376288890838623},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.5240278840065002},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.49546563625335693},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43667998909950256},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.43560606241226196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38812577724456787},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1356295645236969},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08384138345718384}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8324952125549316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8193461298942566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316898107528687},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5941534638404846},{"id":"https://openalex.org/C185761835","wikidata":"https://www.wikidata.org/wiki/Q1431287","display_name":"Peripheral vision","level":2,"score":0.5802015066146851},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5376288890838623},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.5240278840065002},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.49546563625335693},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43667998909950256},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.43560606241226196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38812577724456787},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1356295645236969},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08384138345718384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2018.8591128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2018.8591128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3324826251","display_name":"Development of Compact Liquid Crystal Wide Angle Fovea Sensor with Rapid and Large Magnification Change at Attention Region","funder_award_id":"18K04055","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W175052216","https://openalex.org/W1506110186","https://openalex.org/W1509866307","https://openalex.org/W1511278035","https://openalex.org/W1585967164","https://openalex.org/W1598123022","https://openalex.org/W1937677733","https://openalex.org/W1938248414","https://openalex.org/W1990418369","https://openalex.org/W1994734056","https://openalex.org/W2007899294","https://openalex.org/W2011937936","https://openalex.org/W2016040399","https://openalex.org/W2043687537","https://openalex.org/W2051595870","https://openalex.org/W2102481828","https://openalex.org/W2115797648","https://openalex.org/W2153777142","https://openalex.org/W2157107370","https://openalex.org/W2164909551","https://openalex.org/W2167667767","https://openalex.org/W2275946826","https://openalex.org/W2326557832","https://openalex.org/W2329484804","https://openalex.org/W2330624871","https://openalex.org/W2334829652","https://openalex.org/W2335424921","https://openalex.org/W2335736681","https://openalex.org/W2399097695","https://openalex.org/W6607131174","https://openalex.org/W6654276700","https://openalex.org/W6663249051","https://openalex.org/W6677030111","https://openalex.org/W6701005715","https://openalex.org/W6702987520","https://openalex.org/W6703526220","https://openalex.org/W6712235158"],"related_works":["https://openalex.org/W3165518400","https://openalex.org/W4386844780","https://openalex.org/W4321259727","https://openalex.org/W2898136300","https://openalex.org/W2146833707","https://openalex.org/W2012297739","https://openalex.org/W4387968347","https://openalex.org/W4389667448","https://openalex.org/W2383931486","https://openalex.org/W2087784879"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,7,28,114,150],"novel":[4],"concept":[5],"of":[6,31,47,76,113,149,200],"multi-level":[8,84,191],"disparity":[9,85,97,137,192],"map":[10,86,138,193],"(distance":[11],"image)":[12],"characterized":[13],"by":[14,61,134,159],"input":[15,59],"images":[16],"from":[17,100,122,140],"the":[18,32,36,40,44,54,58,62,74,83,89,96,101,105,111,123,131,136,141,156,168,172,201],"Wide":[19],"Angle":[20],"Fovea":[21],"(WAF)":[22],"lens.":[23],"The":[24,186],"authors":[25,187],"focuses":[26],"on":[27,88],"unique":[29],"property":[30],"WAF":[33,63,124,173],"lens,":[34],"i.e.,":[35],"lens":[37,64],"magnification":[38],"is":[39,194],"highest":[41],"locally":[42],"in":[43,180],"central":[45,102],"field":[46],"view":[48],"(FOV)":[49],"and":[50,68,177],"decreases":[51],"rapidly":[52],"towards":[53],"peripheral":[55,142],"FOV.":[56],"Thus,":[57],"image":[60,77],"achieves":[65],"more":[66],"accurate":[67],"wider-angle":[69],"observation":[70],"simultaneously":[71],"without":[72],"increasing":[73],"number":[75],"pixels.":[78],"Our":[79],"proposed":[80,169,190],"algorithm":[81,170],"generates":[82],"based":[87],"parallel":[90],"stereo":[91,125,174],"vision":[92,126,157,175],"method.":[93],"By":[94],"using":[95,135],"map,":[98],"generated":[99,139],"region":[103],"having":[104],"high-spatial":[106],"resolution,":[107],"we":[108,144],"can":[109,145],"measure":[110],"distance":[112],"target":[115],"object":[116],"being":[117],"quite":[118,195],"far":[119],"away":[120],"ahead":[121],"system":[127,158,176],"very":[128],"accurately.":[129],"On":[130],"same":[132],"time,":[133],"region,":[143],"obtain":[146],"3D":[147],"information":[148],"wider":[151],"space":[152],"comparatively":[153],"close":[154],"to":[155,162,171,182],"adequate":[160],"accuracy":[161],"some":[163],"degree.":[164],"We":[165],"have":[166,178],"implemented":[167],"experimented":[179],"order":[181],"verify":[183],"its":[184],"performance.":[185],"think":[188],"our":[189],"applicable":[196],"for":[197],"improving":[198],"safety":[199],"automatic":[202],"driving":[203],"assistance":[204],"system.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
