{"id":"https://openalex.org/W2910746998","doi":"https://doi.org/10.1109/m2vip.2018.8600857","title":"A Vision Aid for the Visually Impaired using Commodity Dual-Rear-Camera Smartphones","display_name":"A Vision Aid for the Visually Impaired using Commodity Dual-Rear-Camera Smartphones","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2910746998","doi":"https://doi.org/10.1109/m2vip.2018.8600857","mag":"2910746998"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip.2018.8600857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip.2018.8600857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5042399868","display_name":"Minh Nguyen","orcid":"https://orcid.org/0000-0002-2757-8350"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Minh Nguyen","raw_affiliation_strings":["School of Engineering, Computer Mathematical Sciences, Auckland University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Computer Mathematical Sciences, Auckland University of Technology","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029085597","display_name":"Huy Le","orcid":"https://orcid.org/0000-0002-4811-3915"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Huy Le","raw_affiliation_strings":["School of Engineering, Computer Mathematical Sciences, Auckland University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Computer Mathematical Sciences, Auckland University of Technology","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109048109","display_name":"Wei Qi Yan","orcid":"https://orcid.org/0000-0003-2573-0272"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Wei Qi Yan","raw_affiliation_strings":["School of Engineering, Computer Mathematical Sciences, Auckland University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Computer Mathematical Sciences, Auckland University of Technology","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007958457","display_name":"Arpita Dawda","orcid":null},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Arpita Dawda","raw_affiliation_strings":["School of Engineering, Computer Mathematical Sciences, Auckland University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Computer Mathematical Sciences, Auckland University of Technology","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042399868"],"corresponding_institution_ids":["https://openalex.org/I39854758"],"apc_list":null,"apc_paid":null,"fwci":0.3704,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60111467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872000217437744,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/dual","display_name":"Dual (grammatical number)","score":0.688890814781189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5921353697776794},{"id":"https://openalex.org/keywords/visually-impaired","display_name":"Visually impaired","score":0.5860634446144104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5697932839393616},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.5221667289733887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678384065628052},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.45019957423210144},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.18885371088981628},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13206371665000916},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.0761546790599823}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.688890814781189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5921353697776794},{"id":"https://openalex.org/C3020106864","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visually impaired","level":2,"score":0.5860634446144104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5697932839393616},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.5221667289733887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678384065628052},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.45019957423210144},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.18885371088981628},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13206371665000916},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0761546790599823},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/m2vip.2018.8600857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip.2018.8600857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":17,"referenced_works":["https://openalex.org/W100138691","https://openalex.org/W214616616","https://openalex.org/W1509044488","https://openalex.org/W1540682689","https://openalex.org/W1921932637","https://openalex.org/W2041099091","https://openalex.org/W2095069472","https://openalex.org/W2109990343","https://openalex.org/W2173657784","https://openalex.org/W2250619576","https://openalex.org/W2398289683","https://openalex.org/W2509876617","https://openalex.org/W2609229841","https://openalex.org/W2732026016","https://openalex.org/W6630512022","https://openalex.org/W6736922537","https://openalex.org/W6740934225"],"related_works":["https://openalex.org/W4205667428","https://openalex.org/W4323567756","https://openalex.org/W1989937509","https://openalex.org/W2564493068","https://openalex.org/W309883579","https://openalex.org/W2894129024","https://openalex.org/W264233722","https://openalex.org/W2480295570","https://openalex.org/W2991673249","https://openalex.org/W4312360863"],"abstract_inverted_index":{"Dual-":[0],"(or":[1],"multiple)":[2],"rear":[3],"cameras":[4],"on":[5,153,385,390],"hand-held":[6],"smartphones":[7],"are":[8,39,62,83,106,142,395],"believed":[9],"to":[10,100,136,149,171,173,190,197,215,225,244,256,271,275,297,316,345],"be":[11,216,245,348,373],"the":[12,36,87,126,133,151,154,158,169,174,186,193,201,209,227,239,249,252,269,277,288,298,310,343,377,391],"future":[13],"of":[14,19,35,64,85,125,157,182,231,251,342],"mobile":[15],"photography.":[16],"Recently,":[17],"many":[18],"such":[20,131],"new":[21],"has":[22,161],"been":[23],"released":[24],"(mainly":[25],"with":[26,91,248,279],"dual-rear":[27],"cameras:":[28],"one":[29,32,162,255,353],"wide-angle":[30,210],"and":[31,43,199,242,376,381,393],"telephoto).":[33],"Some":[34],"notable":[37],"ones":[38,281],"Apple":[40],"iPhone":[41,46,134],"7":[42],"8":[44],"Plus,":[45],"X,":[47,135],"Samsung":[48],"Galaxy":[49],"S9,":[50],"LG":[51],"V30,":[52],"Huawei":[53],"Mate":[54],"10.":[55],"With":[56],"built-in":[57],"dual-camera":[58],"systems,":[59],"these":[60,104],"devices":[61],"capable":[63,84],"not":[65],"only":[66],"producing":[67],"better":[68],"quality":[69],"picture":[70],"but":[71],"also":[72,286,308,332],"acquiring":[73],"3D":[74,194],"stereo":[75,195,246],"photos":[76,214],"(with":[77],"depth":[78,92,259],"information":[79],"collected).":[80],"Thus,":[81],"they":[82],"capturing":[86],"moment":[88],"in":[89,229,398],"life":[90],"just":[93],"like":[94],"our":[95],"two":[96,164],"eye":[97],"system.":[98],"Thanks":[99],"this":[101,116,399],"current":[102],"trend,":[103],"phones":[105,130],"now":[107],"getting":[108],"cheaper":[109],"while":[110],"becoming":[111],"more":[112,207,240],"power":[113],"complete.":[114],"In":[115,205,323],"paper,":[117],"we":[118],"describe":[119,226],"a":[120,147,219,258,325,351],"system":[121,179,311],"that":[122],"makes":[123,287],"use":[124],"commercial":[127],"dual":[128],"rear-camera":[129],"as":[132],"provide":[137],"aids":[138,250],"for":[139],"people":[140],"who":[141,160],"visually":[143],"impaired.":[144],"We":[145],"propose":[146],"design":[148,392],"place":[150],"phone":[152,175,289,378],"chest":[155],"centre":[156],"user":[159,278,306],"or":[163,363],"Bluetooth":[165],"headphone(s)":[166],"plugged":[167],"into":[168],"ears":[170],"listen":[172],"audio":[176,346],"outputs.":[177],"Our":[178],"is":[180,331,356],"consist":[181],"three":[183],"modules:":[184],"(1)":[185],"scene":[187,228],"context":[188],"recognition":[189],"audio,":[191,198],"(2)":[192],"reconstruction":[196],"(3)":[200],"interactive":[202],"audio/voice":[203],"controls.":[204],"slightly":[206],"detail,":[208],"camera":[211,237],"captures":[212,238],"live":[213],"investigated":[217],"by":[218,312],"GPS":[220],"guided":[221],"Deep":[222],"Learning":[223],"process":[224],"front":[230,367],"him/herself":[232],"(module":[233,282,321,329],"1).":[234],"The":[235,265,305],"telephoto":[236],"narrow-angle":[241],"thus":[243],"reconstructed":[247],"wide":[253],"angle's":[254],"form":[257],"map":[260,266],"(densed":[261],"area-based":[262],"distance":[263,270],"map).":[264],"helps":[267],"determine":[268],"all":[272,383],"visible":[273],"object(s)":[274,293],"notify":[276],"critical":[280],"2).":[283],"This":[284],"module":[285,328],"vibrate":[290],"when":[291,334],"an":[292],"located":[294],"close":[295],"enough":[296],"user,":[299],"e.g.":[300],"within":[301],"hand":[302],"reach":[303],"distance.":[304],"can":[307],"query":[309],"asking":[313],"various":[314],"questions":[315],"get":[317],"automatic":[318],"voice":[319],"answering":[320],"3).":[322],"addition,":[324],"manual":[326],"rescue":[327],"4)":[330],"added":[333],"other":[335],"things":[336],"have":[337],"gone":[338],"wrong.":[339],"An":[340],"example":[341],"vision":[344],"could":[347],"\u201dOverall,":[349,364],"likely":[350],"corridor,":[352],"medium":[354],"object":[355],"0.5":[357],"m":[358],"away":[359],"-":[360],"central":[361],"left\u201d,":[362],"city":[365],"pathway,":[366],"cleared\u201d.":[368],"Audio":[369],"command":[370],"input":[371],"may":[372],"\u201dread":[374],"texts\u201d,":[375],"will":[379],"detect":[380],"read":[382],"texts":[384],"closest":[386],"object.":[387],"More":[388],"details":[389],"implementation":[394],"further":[396],"described":[397],"paper.":[400]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
