{"id":"https://openalex.org/W2744160734","doi":"https://doi.org/10.1109/urai.2017.7992787","title":"Precise object detection using local feature for robot manipulator","display_name":"Precise object detection using local feature for robot manipulator","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2744160734","doi":"https://doi.org/10.1109/urai.2017.7992787","mag":"2744160734"},"language":"en","primary_location":{"id":"doi:10.1109/urai.2017.7992787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2017.7992787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","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/A5081277619","display_name":"Jae Min Cho","orcid":"https://orcid.org/0000-0002-4461-6945"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Min Cho","raw_affiliation_strings":["Department of Computer Software, Korea University of Science and Technology, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Software, Korea University of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002524545","display_name":"Kyekyung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KyeKyung Kim","raw_affiliation_strings":["ETRI, Human Machine Interaction Research Group, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETRI, Human Machine Interaction Research Group, Daejeon, Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"497","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8572026491165161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8312325477600098},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7297791838645935},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6708205938339233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646825075149536},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.642511785030365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5943008661270142},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5850669145584106},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5711897611618042},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5362322926521301},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.5049172043800354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.504250168800354},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.49551284313201904},{"id":"https://openalex.org/keywords/visual-servoing","display_name":"Visual servoing","score":0.49276259541511536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44635307788848877},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.42706021666526794},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2445024847984314},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.22312453389167786},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.215152770280838},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20979535579681396}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8572026491165161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8312325477600098},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7297791838645935},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6708205938339233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646825075149536},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.642511785030365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5943008661270142},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5850669145584106},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5711897611618042},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5362322926521301},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.5049172043800354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.504250168800354},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.49551284313201904},{"id":"https://openalex.org/C10912380","wikidata":"https://www.wikidata.org/wiki/Q527952","display_name":"Visual servoing","level":3,"score":0.49276259541511536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44635307788848877},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42706021666526794},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2445024847984314},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.22312453389167786},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.215152770280838},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20979535579681396},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/urai.2017.7992787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/urai.2017.7992787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1981266066","https://openalex.org/W2004492169","https://openalex.org/W2038584908","https://openalex.org/W2095905764","https://openalex.org/W2116216752","https://openalex.org/W2141825555"],"related_works":["https://openalex.org/W2557461402","https://openalex.org/W2922421953","https://openalex.org/W2340004334","https://openalex.org/W2355810106","https://openalex.org/W2021186063","https://openalex.org/W2266302971","https://openalex.org/W2601478678","https://openalex.org/W2888912568","https://openalex.org/W2975200075","https://openalex.org/W2744160734"],"abstract_inverted_index":{"It":[0],"is":[1,18,120],"difficult":[2],"to":[3,8,77,109,144],"apply":[4],"object":[5,17,32,39,98,118,141,149,161],"recognition":[6],"technology":[7],"manufacturing":[9],"industry":[10],"because":[11],"the":[12,22,62,85,97,100,114,126,131,136,140,146,154,158,170,174],"intrinsic":[13],"characteristics":[14],"of":[15,64,66,72,113,139,148,160],"an":[16],"easily":[19],"influenced":[20],"by":[21,45,57,122,130],"surrounding":[23],"environment":[24],"such":[25,90],"as":[26,91],"lighting":[27],"condition,":[28],"background":[29],"complexity":[30],"and":[31,70,104],"shape.":[33],"This":[34],"paper":[35],"proposes":[36],"a":[37,152],"precise":[38,117],"detection":[40,162],"method":[41,156],"for":[42,61],"assembling":[43],"components":[44],"more":[46],"stable":[47],"feature":[48],"extraction.":[49],"To":[50],"accomplish":[51],"it,":[52],"two":[53],"images":[54],"are":[55,75,94,107,142],"captured":[56],"fine-tuning":[58],"exposure":[59],"time":[60],"purpose":[63],"complementation":[65],"features.":[67],"Adaptive":[68],"binarization":[69],"differential":[71],"Gaussian":[73],"methods":[74],"applied":[76],"extracting":[78],"edge":[79],"information":[80],"from":[81,96],"each":[82],"image.":[83],"In":[84,134],"next":[86],"step,":[87],"primary":[88],"features":[89,138],"contour":[92],"lines":[93,106],"extracted":[95],"using":[99,125,173],"Fast":[101],"Hough":[102],"Transform":[103],"candidate":[105,132],"selected":[108],"become":[110],"geometric":[111],"conditions":[112],"object.":[115],"The":[116],"region":[119],"detected":[121],"shape":[123],"analysis":[124],"four":[127],"vertices":[128],"computed":[129],"lines.":[133],"addition,":[135],"internal":[137],"employed":[143],"increase":[145],"precision":[147],"detection.":[150],"As":[151],"result,":[153],"proposed":[155],"improved":[157],"accuracy":[159],"so":[163],"that":[164],"it":[165],"can":[166],"be":[167],"useful":[168],"in":[169],"visual":[171],"servoing":[172],"robot":[175],"manipulator.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}