{"id":"https://openalex.org/W3163642531","doi":"https://doi.org/10.1145/3447654.3447667","title":"Robust Corner Detection Using Linear Fitting Error Estimation","display_name":"Robust Corner Detection Using Linear Fitting Error Estimation","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3163642531","doi":"https://doi.org/10.1145/3447654.3447667","mag":"3163642531"},"language":"en","primary_location":{"id":"doi:10.1145/3447654.3447667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447654.3447667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 9th International Conference on Networks, Communication and Computing","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/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0003-1847-8769"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610890","display_name":"Qian Zheng","orcid":"https://orcid.org/0000-0001-7009-360X"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zheng","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432138","display_name":"Yuhua Li","orcid":"https://orcid.org/0000-0002-1866-6607"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Li","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444221","display_name":"Zhifeng Zhang","orcid":"https://orcid.org/0000-0003-0041-3916"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Zhang","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053630899","display_name":"Baohuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baohuan Li","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102735844","display_name":"Shizheng Zhang","orcid":"https://orcid.org/0000-0003-1535-2618"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizheng Zhang","raw_affiliation_strings":["Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100449791"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11607656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"95"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9962999820709229,"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":0.8596385717391968},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.7099178433418274},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.6768155694007874},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4897203743457794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4890500009059906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4587422311306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45598673820495605},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4323802888393402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41658639907836914},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3654100298881531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3166568875312805},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17048317193984985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16857364773750305}],"concepts":[{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.8596385717391968},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.7099178433418274},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.6768155694007874},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4897203743457794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4890500009059906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4587422311306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45598673820495605},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4323802888393402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41658639907836914},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3654100298881531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3166568875312805},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17048317193984985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16857364773750305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447654.3447667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447654.3447667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 9th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1437729647","https://openalex.org/W1505641881","https://openalex.org/W1983061445","https://openalex.org/W1989553449","https://openalex.org/W1995234825","https://openalex.org/W2000451122","https://openalex.org/W2007178811","https://openalex.org/W2049583380","https://openalex.org/W2055190781","https://openalex.org/W2056906525","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2111589119","https://openalex.org/W2114785422","https://openalex.org/W2116725226","https://openalex.org/W2131043929","https://openalex.org/W2145023731","https://openalex.org/W2151730142","https://openalex.org/W2191154512","https://openalex.org/W2256790569","https://openalex.org/W2263859149","https://openalex.org/W2407545225","https://openalex.org/W2734484008","https://openalex.org/W2788478017","https://openalex.org/W2918007001","https://openalex.org/W2939963590"],"related_works":["https://openalex.org/W1437729647","https://openalex.org/W2033156724","https://openalex.org/W2350699021","https://openalex.org/W2992309895","https://openalex.org/W2391279145","https://openalex.org/W3146011161","https://openalex.org/W2142287731","https://openalex.org/W2539223220","https://openalex.org/W2143549796","https://openalex.org/W2148144797"],"abstract_inverted_index":{"Image":[0],"corners":[1],"have":[2],"been":[3],"widely":[4],"used":[5],"in":[6,155],"image":[7],"processing":[8],"and":[9,45,160],"computer":[10],"vision":[11],"applications.":[12],"For":[13],"a":[14,33,87],"variety":[15],"of":[16,32,50,75,83,130,157],"contour-based":[17,58],"corner":[18,59,72,136,145,152],"detection":[19,36,47,146,153],"methods":[20,154],"the":[21,29,40,52,65,71,76,97,105,113,118,126,131,143,149],"key":[22],"step":[23],"is":[24,91],"curvature":[25],"estimation,":[26],"which":[27],"reflects":[28],"bending":[30,128],"strength":[31,74,129],"curve.":[34],"Corner":[35],"aims":[37],"to":[38,63,69,93,104],"achieve":[39],"lowest":[41],"possible":[42],"computational":[43],"cost":[44],"maximal":[46],"accuracy.":[48],"Instead":[49],"estimating":[51],"discrete":[53],"curve":[54,89,133],"directly":[55],"like":[56],"most":[57],"detectors,":[60],"we":[61],"propose":[62],"utilize":[64],"linear":[66,99],"fitting":[67,100,115,121],"error":[68,159],"measure":[70],"response":[73],"contour":[77],"points.":[78],"The":[79,138],"proposed":[80,144],"method":[81],"consists":[82],"three":[84],"aspects:":[85],"First,":[86],"small":[88,132],"segment":[90,134],"parameterized":[92],"two":[94,107],"curves;":[95],"then":[96],"minimum":[98,120],"errors":[101,122],"with":[102],"respect":[103],"above":[106],"curves":[108],"are":[109,123],"estimated":[110,119],"by":[111],"employing":[112],"least-squares":[114],"technique;":[116],"Finally,":[117],"considered":[124],"as":[125],"local":[127],"for":[135],"finding.":[137],"experimental":[139],"results":[140],"show":[141],"that":[142],"algorithm":[147],"outperforms":[148],"five":[150],"state-of-the-art":[151],"terms":[156],"localization":[158],"average":[161],"repeatability.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
