{"id":"https://openalex.org/W2148144797","doi":"https://doi.org/10.1109/icarcv.2010.5707805","title":"An efficient edge and corner detector","display_name":"An efficient edge and corner detector","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2148144797","doi":"https://doi.org/10.1109/icarcv.2010.5707805","mag":"2148144797"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2010.5707805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics &amp; Vision","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/A5104305105","display_name":"Song Yang","orcid":"https://orcid.org/0009-0007-6837-1739"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Song Yang","raw_affiliation_strings":["Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002694277","display_name":"Siew-Kei Lam","orcid":"https://orcid.org/0000-0002-8346-2635"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siew-Kei Lam","raw_affiliation_strings":["Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070475093","display_name":"Thambipillai Srikanthan","orcid":"https://orcid.org/0000-0003-3664-4345"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Thambipillai Srikanthan","raw_affiliation_strings":["Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Centre of High Performance Embedded Systems, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104305105"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72790024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1628","last_page":"1631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983999729156494,"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/corner-detection","display_name":"Corner detection","score":0.7938125133514404},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7827723026275635},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7584230899810791},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.7118121385574341},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6568756103515625},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6384223699569702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603540301322937},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5709273815155029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5693270564079285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5676814913749695},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5609038472175598},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.48777467012405396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46155285835266113},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.416746586561203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40362563729286194},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3115690350532532},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.04979965090751648}],"concepts":[{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.7938125133514404},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7827723026275635},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7584230899810791},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.7118121385574341},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6568756103515625},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6384223699569702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603540301322937},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5709273815155029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5693270564079285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5676814913749695},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5609038472175598},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.48777467012405396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46155285835266113},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.416746586561203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40362563729286194},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3115690350532532},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.04979965090751648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2010.5707805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics &amp; Vision","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":14,"referenced_works":["https://openalex.org/W1483473930","https://openalex.org/W1567933994","https://openalex.org/W1970393892","https://openalex.org/W1981787154","https://openalex.org/W1994069847","https://openalex.org/W2020554914","https://openalex.org/W2039008884","https://openalex.org/W2099046646","https://openalex.org/W2114785422","https://openalex.org/W2145023731","https://openalex.org/W2312083696","https://openalex.org/W4240744150","https://openalex.org/W6634034622","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W2305304842","https://openalex.org/W2056066761","https://openalex.org/W2361955833","https://openalex.org/W2093252865","https://openalex.org/W2130933797","https://openalex.org/W3027978009","https://openalex.org/W4319978454","https://openalex.org/W4318002970"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3,34,50],"efficient":[4],"method":[5,105],"for":[6],"image":[7,27,51],"edge":[8,35,39,44,63,67,87],"and":[9,68,88],"corner":[10,17,47,69,89],"detection.":[11],"Edges":[12],"are":[13,52],"detected":[14],"before":[15],"extracting":[16],"points":[18,48],"so":[19],"that":[20,37,84],"the":[21,26,43,57,62,77,85,103,111],"background":[22],"or":[23],"noise":[24],"of":[25,49,59,110],"can":[28,81],"be":[29,82],"effectively":[30],"removed.":[31],"We":[32],"propose":[33],"detector":[36,90],"utilizes":[38,71],"features":[40],"to":[41],"localize":[42],"points.":[45],"The":[46,65],"then":[53],"identified":[54],"by":[55],"evaluating":[56],"degree":[58],"turning":[60],"in":[61],"direction.":[64],"proposed":[66,86,104],"detection":[70],"low":[72],"complexity":[73],"computations.":[74],"Based":[75],"on":[76],"experiments":[78],"considered,":[79],"it":[80],"observed":[83],"achieves":[91],"more":[92],"accurate":[93],"results":[94],"than":[95,108],"several":[96],"other":[97,112],"well":[98,113],"known":[99,114],"algorithms.":[100,115],"In":[101],"addition,":[102],"performs":[106],"faster":[107],"most":[109]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
