{"id":"https://openalex.org/W3198307715","doi":"https://doi.org/10.1109/robio54168.2021.9739423","title":"Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection","display_name":"Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection","publication_year":2021,"publication_date":"2021-12-27","ids":{"openalex":"https://openalex.org/W3198307715","doi":"https://doi.org/10.1109/robio54168.2021.9739423","mag":"3198307715"},"language":"en","primary_location":{"id":"doi:10.1109/robio54168.2021.9739423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio54168.2021.9739423","pdf_url":null,"source":{"id":"https://openalex.org/S4363607846","display_name":"2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5055996451","display_name":"Nachuan Ma","orcid":"https://orcid.org/0000-0002-7107-6577"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nachuan Ma","raw_affiliation_strings":["Tongji University,The College of Electronic and Information Engineering,Shanghai,China","The College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,The College of Electronic and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"The College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708558","display_name":"Jianbang Liu","orcid":"https://orcid.org/0000-0003-1469-0623"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbang Liu","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Electronic Engineering,Shatin, N.T., Hong Kong,SAR,China","Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Electronic Engineering,Shatin, N.T., Hong Kong,SAR,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072234330","display_name":"Delong Zhu","orcid":"https://orcid.org/0000-0002-1143-7860"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Delong Zhu","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Electronic Engineering,Shatin, N.T., Hong Kong,SAR,China","Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Electronic Engineering,Shatin, N.T., Hong Kong,SAR,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055996451"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.30529954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1998","last_page":"2004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T14011","display_name":"Elevator Systems and Control","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12707","display_name":"Vehicle License Plate Recognition","score":0.995199978351593,"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/computer-vision","display_name":"Computer vision","score":0.8233535289764404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8128104209899902},{"id":"https://openalex.org/keywords/elevator","display_name":"Elevator","score":0.78790283203125},{"id":"https://openalex.org/keywords/perspective-distortion","display_name":"Perspective distortion","score":0.7136140465736389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6845921277999878},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.652896523475647},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6199906468391418},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.538305401802063},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5357280373573303},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5234096646308899},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46636471152305603},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4589338004589081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.379216730594635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22450709342956543}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8233535289764404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8128104209899902},{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.78790283203125},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.7136140465736389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845921277999878},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.652896523475647},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6199906468391418},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.538305401802063},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5357280373573303},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5234096646308899},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46636471152305603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4589338004589081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.379216730594635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22450709342956543},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio54168.2021.9739423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio54168.2021.9739423","pdf_url":null,"source":{"id":"https://openalex.org/S4363607846","display_name":"2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":18,"referenced_works":["https://openalex.org/W1980388974","https://openalex.org/W2031746509","https://openalex.org/W2059425116","https://openalex.org/W2082678666","https://openalex.org/W2095905764","https://openalex.org/W2125297055","https://openalex.org/W2277987081","https://openalex.org/W2609000551","https://openalex.org/W2630837129","https://openalex.org/W2774089603","https://openalex.org/W2789899504","https://openalex.org/W2800536624","https://openalex.org/W2889516494","https://openalex.org/W2963163009","https://openalex.org/W2964309882","https://openalex.org/W3001185894","https://openalex.org/W3120930509","https://openalex.org/W3138069928"],"related_works":["https://openalex.org/W2786887078","https://openalex.org/W3115594293","https://openalex.org/W3128004133","https://openalex.org/W2620715523","https://openalex.org/W2564409918","https://openalex.org/W2999630082","https://openalex.org/W343952165","https://openalex.org/W2046740589","https://openalex.org/W3203372841","https://openalex.org/W4245223490"],"abstract_inverted_index":{"Elevator":[0],"button":[1,49,53,72,75,84,133],"recognition":[2],"is":[3,121],"a":[4,35,60],"critical":[5],"function":[6],"to":[7,25,42,70,91],"realize":[8],"the":[9,66,111],"autonomous":[10],"operation":[11],"of":[12,47,82,108,123,131],"elevators.":[13],"However,":[14],"challenging":[15],"image":[16,20,62],"conditions":[17],"and":[18,65,74,127],"various":[19],"distortions":[21,46,130],"make":[22],"it":[23],"difficult":[24],"recognize":[26],"buttons":[27],"accurately.":[28],"To":[29],"fill":[30],"this":[31],"gap,":[32],"we":[33,58],"propose":[34],"novel":[36,61],"deep":[37],"learning-based":[38],"approach,":[39],"which":[40],"aims":[41],"autonomously":[43],"correct":[44],"perspective":[45,97,129],"elevator":[48,100,132],"images":[50,102,134],"based":[51],"on":[52],"corner":[54,76],"detection":[55,77],"results.":[56,78],"First,":[57],"leverage":[59],"segmentation":[63,73],"model":[64],"Hough":[67],"Transform":[68],"method":[69],"obtain":[71],"Then,":[79],"pixel":[80],"coordinates":[81],"standard":[83],"corners":[85],"are":[86,103],"used":[87],"as":[88,110],"reference":[89],"features":[90],"estimate":[92],"camera":[93,125],"motions":[94,126],"for":[95],"correcting":[96],"distortions.":[98],"Fifteen":[99],"but-ton":[101],"captured":[104],"from":[105],"different":[106],"angles":[107],"view":[109],"dataset.":[112],"The":[113],"experimental":[114],"results":[115],"demonstrate":[116],"that":[117],"our":[118],"proposed":[119],"approach":[120],"capable":[122],"estimating":[124],"removing":[128],"with":[135],"high":[136],"accuracy.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}