{"id":"https://openalex.org/W2734484008","doi":"https://doi.org/10.1109/lsp.2017.2724851","title":"Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour","display_name":"Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour","publication_year":2017,"publication_date":"2017-07-10","ids":{"openalex":"https://openalex.org/W2734484008","doi":"https://doi.org/10.1109/lsp.2017.2724851","mag":"2734484008"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2724851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2724851","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5021528853","display_name":"Xinyu Lin","orcid":"https://orcid.org/0000-0003-0304-8993"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Lin","raw_affiliation_strings":["School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401566","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-6074-2354"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026169938","display_name":"Xiaolin Huang","orcid":"https://orcid.org/0000-0003-4285-6520"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Huang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering/Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021528853"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.0012,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8502235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"9","first_page":"1393","last_page":"1397"},"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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":0.8119986653327942},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.777119517326355},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.668734073638916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6061025857925415},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5868521332740784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5532636642456055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5425629615783691},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.48821380734443665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47849908471107483},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42480599880218506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38331732153892517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34108805656433105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33775174617767334},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12023046612739563}],"concepts":[{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.8119986653327942},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.777119517326355},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.668734073638916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6061025857925415},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5868521332740784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5532636642456055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425629615783691},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.48821380734443665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47849908471107483},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42480599880218506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38331732153892517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34108805656433105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33775174617767334},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12023046612739563},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2017.2724851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2724851","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2099867796","display_name":null,"funder_award_id":"61602091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2430933232","display_name":null,"funder_award_id":"61571102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8555058780","display_name":null,"funder_award_id":"61603248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1984853631","https://openalex.org/W1995234825","https://openalex.org/W2000451122","https://openalex.org/W2024019664","https://openalex.org/W2029730854","https://openalex.org/W2038678573","https://openalex.org/W2038691774","https://openalex.org/W2045868221","https://openalex.org/W2050061337","https://openalex.org/W2055190781","https://openalex.org/W2064793782","https://openalex.org/W2110256471","https://openalex.org/W2112852295","https://openalex.org/W2114785422","https://openalex.org/W2115656279","https://openalex.org/W2125241596","https://openalex.org/W2131043929","https://openalex.org/W2131931246","https://openalex.org/W2150721136","https://openalex.org/W2256790569"],"related_works":["https://openalex.org/W2183486083","https://openalex.org/W3139626627","https://openalex.org/W2161229648","https://openalex.org/W2993674027","https://openalex.org/W2130228941","https://openalex.org/W2359343796","https://openalex.org/W2184960528","https://openalex.org/W2145933933","https://openalex.org/W2156271305","https://openalex.org/W2155853491"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,8,47,84,117],"the":[3,24,31,70,82,98,103,107,111],"most":[4],"significant":[5],"local":[6],"features":[7],"image,":[9],"corner":[10,78,113],"is":[11,57],"widely":[12],"used":[13],"in":[14,115],"many":[15],"computer":[16],"vision":[17],"tasks.":[18],"Corner":[19],"detection":[20,27],"aims":[21],"to":[22,59,63,80],"achieve":[23],"highest":[25],"possible":[26],"accuracy":[28],"while":[29,106],"minimizing":[30],"computational":[32,104],"complexity.":[33],"In":[34],"this":[35],"letter,":[36],"we":[37,74],"first":[38],"introduce":[39],"a":[40],"new":[41],"measurement":[42],"termed":[43],"as":[44],"second-order":[45],"difference":[46],"contour":[48,85],"(SODC),":[49],"and":[50,90,119],"then":[51],"examine":[52],"its":[53],"regular":[54],"distribution,":[55],"which":[56],"found":[58],"provide":[60],"useful":[61],"information":[62],"distinguish":[64],"corners":[65],"from":[66],"noncorners.":[67],"Based":[68],"on":[69],"SODC":[71],"distribution":[72],"characteristics,":[73],"propose":[75],"two":[76],"novel":[77],"detectors":[79,114],"measure":[81],"response":[83],"points":[86],"using":[87],"Manhattan":[88,99],"distance":[89],"Euclidean":[91,108],"distance,":[92],"respectively.":[93],"Numerical":[94],"experiments":[95],"demonstrate":[96],"that":[97],"detector":[100,109],"greatly":[101],"decreases":[102],"complexity,":[105],"outperforms":[110],"state-of-the-art":[112],"terms":[116],"repeatability":[118],"localization":[120],"error.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}