{"id":"https://openalex.org/W2563159066","doi":"https://doi.org/10.1109/dicta.2016.7797005","title":"An Effective Multi-Chord Corner Detection Technique","display_name":"An Effective Multi-Chord Corner Detection Technique","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2563159066","doi":"https://doi.org/10.1109/dicta.2016.7797005","mag":"2563159066"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2016.7797005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5037289930","display_name":"Naurin Afrin","orcid":null},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Naurin Afrin","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062072064","display_name":"Nabeel Mohammed","orcid":"https://orcid.org/0000-0002-7661-3570"},"institutions":[{"id":"https://openalex.org/I3131708325","display_name":"University of Liberal Arts Bangladesh","ror":"https://ror.org/012br3z79","country_code":"BD","type":"education","lineage":["https://openalex.org/I3131708325"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nabeel Mohammed","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Liberal Arts Bangladesh (ULAB) Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Liberal Arts Bangladesh (ULAB) Bangladesh","institution_ids":["https://openalex.org/I3131708325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012372031","display_name":"Wei Lai","orcid":"https://orcid.org/0000-0002-9385-4421"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Lai","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0925,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93777908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/chord","display_name":"Chord (peer-to-peer)","score":0.8694154024124146},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6586031913757324},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.6208299398422241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5401806235313416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5389647483825684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4907320737838745},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4555484354496002},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33186453580856323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3279259502887726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2238791286945343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0922604501247406}],"concepts":[{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.8694154024124146},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6586031913757324},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.6208299398422241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401806235313416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5389647483825684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4907320737838745},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4555484354496002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33186453580856323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3279259502887726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2238791286945343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0922604501247406},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2016.7797005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2016.7797005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:33abb476-8057-4f8f-888d-7f1c592544b4/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/434517","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016), Gold Coast, Queensland, Australia, 30 November-2 December 2016","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1567933994","https://openalex.org/W1985444400","https://openalex.org/W1988334111","https://openalex.org/W1989553449","https://openalex.org/W1995234825","https://openalex.org/W2003292635","https://openalex.org/W2024019664","https://openalex.org/W2029730854","https://openalex.org/W2038678573","https://openalex.org/W2050061337","https://openalex.org/W2062604316","https://openalex.org/W2064793782","https://openalex.org/W2102855962","https://openalex.org/W2110256471","https://openalex.org/W2114785422","https://openalex.org/W2115656279","https://openalex.org/W2129146260","https://openalex.org/W2131043929","https://openalex.org/W2150721136","https://openalex.org/W2465716648","https://openalex.org/W4250453583"],"related_works":["https://openalex.org/W229552792","https://openalex.org/W2351864507","https://openalex.org/W3215212221","https://openalex.org/W2329500892","https://openalex.org/W3159818711","https://openalex.org/W2070360846","https://openalex.org/W2042398445","https://openalex.org/W2883093918","https://openalex.org/W2024019664","https://openalex.org/W2169824150"],"abstract_inverted_index":{"Corners":[0],"are":[1,50],"salient":[2],"features":[3],"in":[4,112],"two":[5,24,76],"dimensional":[6],"images.":[7],"Compared":[8],"to":[9,18,38,63,101,122,127,148],"other":[10],"approaches,":[11],"contour-based":[12,26],"corner":[13,27,72,89,99,115,145],"detectors":[14,45],"have":[15,155],"been":[16],"reported":[17],"be":[19],"more":[20,142],"effective.":[21],"We":[22],"analysed":[23],"state-of-the-art":[25],"detectors,":[28],"Chord-to-Point":[29],"Distance":[30,94],"Accumulation":[31],"(CPDA)":[32],"and":[33,81,151,153],"very":[34],"recently":[35],"developed":[36],"Curve":[37],"Chord":[39,92],"Ratio":[40],"(CCR).":[41],"Both":[42],"of":[43],"these":[44],"use":[46,123],"multiple":[47,124],"parameters":[48],"which":[49,96],"manually":[51],"or":[52,159],"experimentally":[53],"determined.":[54],"In":[55],"this":[56,98],"paper,":[57],"we":[58,85,117],"propose":[59,86,128],"a":[60,71,78,87,103,119,156],"systematic":[61],"approach":[62],"detect":[64],"corners":[65],"from":[66],"image":[67],"contours":[68],"by":[69],"creating":[70],"model":[73,100],"based":[74],"on":[75],"parameters,":[77],"chord":[79,108,125],"length":[80],"an":[82],"angle.":[83],"Then":[84],"chord-based":[88],"detector,":[90],"Single":[91],"Accumulated":[93],"(SCAD),":[95],"uses":[97],"calculate":[102],"suitable":[104],"threshold.":[105],"As":[106],"different":[107,114],"lengths":[109,126],"can":[110],"result":[111],"identifying":[113],"locations,":[116],"outline":[118],"simple":[120],"method":[121],"Multiple":[129],"SCAD":[130],"(MSCAD).":[131],"Our":[132],"experimental":[133],"results":[134],"show":[135],"that":[136],"our":[137],"proposed":[138],"detector":[139],"consistently":[140],"identifies":[141],"visually":[143],"obvious":[144],"locations":[146],"compared":[147],"both":[149],"CPDA":[150],"CCR":[152],"also":[154],"relatively":[157],"low":[158],"comparable":[160],"localization":[161],"error,":[162],"thus":[163],"showing":[164],"better":[165],"performance":[166],"than":[167],"the":[168],"current":[169],"state-of-the":[170],"art":[171],"techniques.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
