{"id":"https://openalex.org/W2982606590","doi":"https://doi.org/10.1007/s11263-019-01257-2","title":"Corner Detection Using Multi-directional Structure Tensor with Multiple Scales","display_name":"Corner Detection Using Multi-directional Structure Tensor with Multiple Scales","publication_year":2019,"publication_date":"2019-10-29","ids":{"openalex":"https://openalex.org/W2982606590","doi":"https://doi.org/10.1007/s11263-019-01257-2","mag":"2982606590"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-019-01257-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-019-01257-2","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/416529","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013741704","display_name":"Weichuan Zhang","orcid":"https://orcid.org/0000-0003-4904-1826"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weichuan Zhang","raw_affiliation_strings":["College of Electrical and Information, Xi\u2019an Polytechnic University, Xi\u2019an, 710048, China","College of Electrical and Information, Xi'an Polytechnic University, Xi'an, 710048, China"],"raw_orcid":"https://orcid.org/0000-0003-4904-1826","affiliations":[{"raw_affiliation_string":"College of Electrical and Information, Xi\u2019an Polytechnic University, Xi\u2019an, 710048, China","institution_ids":["https://openalex.org/I27599042"]},{"raw_affiliation_string":"College of Electrical and Information, Xi'an Polytechnic University, Xi'an, 710048, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041589060","display_name":"Changming Sun","orcid":"https://orcid.org/0000-0001-5943-1989"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changming Sun","raw_affiliation_strings":["CSIRO Data61, PO Box 76, Epping, NSW, 1710, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO Data61, PO Box 76, Epping, NSW, 1710, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013741704"],"corresponding_institution_ids":["https://openalex.org/I27599042"],"apc_list":{"value":4390,"currency":"USD","value_usd":4390},"apc_paid":{"value":4390,"currency":"USD","value_usd":4390},"fwci":3.1319,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.92748508,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"128","issue":"2","first_page":"438","last_page":"459"},"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/T10036","display_name":"Advanced Neural Network Applications","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/corner-detection","display_name":"Corner detection","score":0.7548419237136841},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.7413339614868164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5834293365478516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443243384361267},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5426308512687683},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.49881529808044434},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4879274070262909},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4852416515350342},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.467795193195343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45814889669418335},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4302574694156647},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4171518385410309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4077591896057129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35527363419532776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3460121750831604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3316862881183624},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2771899104118347},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15418154001235962}],"concepts":[{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.7548419237136841},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.7413339614868164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5834293365478516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443243384361267},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5426308512687683},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.49881529808044434},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4879274070262909},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4852416515350342},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.467795193195343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45814889669418335},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4302574694156647},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4171518385410309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4077591896057129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35527363419532776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3460121750831604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3316862881183624},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2771899104118347},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15418154001235962},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-019-01257-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-019-01257-2","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/416529","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/416529","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/416529","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/416529","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G410714671","display_name":null,"funder_award_id":"No. 61401347","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1496395994","https://openalex.org/W1505641881","https://openalex.org/W1537370535","https://openalex.org/W1604766291","https://openalex.org/W1677409904","https://openalex.org/W1945298332","https://openalex.org/W1968901737","https://openalex.org/W1980911747","https://openalex.org/W1983061445","https://openalex.org/W1990773344","https://openalex.org/W1992047056","https://openalex.org/W2000451122","https://openalex.org/W2015206503","https://openalex.org/W2020163092","https://openalex.org/W2022735534","https://openalex.org/W2023539502","https://openalex.org/W2033819227","https://openalex.org/W2055190781","https://openalex.org/W2056906525","https://openalex.org/W2059871232","https://openalex.org/W2067788234","https://openalex.org/W2099046646","https://openalex.org/W2099424088","https://openalex.org/W2105548357","https://openalex.org/W2109200236","https://openalex.org/W2111308925","https://openalex.org/W2112634643","https://openalex.org/W2114785422","https://openalex.org/W2121299337","https://openalex.org/W2125241596","https://openalex.org/W2129146260","https://openalex.org/W2131043929","https://openalex.org/W2133155955","https://openalex.org/W2139424410","https://openalex.org/W2140178321","https://openalex.org/W2144967509","https://openalex.org/W2145665593","https://openalex.org/W2149706766","https://openalex.org/W2150134853","https://openalex.org/W2150440820","https://openalex.org/W2151103935","https://openalex.org/W2151730142","https://openalex.org/W2152724437","https://openalex.org/W2156598602","https://openalex.org/W2162430761","https://openalex.org/W2162749400","https://openalex.org/W2164822588","https://openalex.org/W2166344663","https://openalex.org/W2167034998","https://openalex.org/W2167080312","https://openalex.org/W2167566599","https://openalex.org/W2170282673","https://openalex.org/W2172188317","https://openalex.org/W2172263315","https://openalex.org/W2320444803","https://openalex.org/W2345643369","https://openalex.org/W2530186022","https://openalex.org/W2588642790","https://openalex.org/W2749224737","https://openalex.org/W2913429812","https://openalex.org/W2914011225","https://openalex.org/W2939963590","https://openalex.org/W3043075211","https://openalex.org/W6635826704","https://openalex.org/W6817491142"],"related_works":["https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2027579525","https://openalex.org/W2535084101","https://openalex.org/W2381972071","https://openalex.org/W2149601143","https://openalex.org/W2015754241","https://openalex.org/W2033013975","https://openalex.org/W1974463337","https://openalex.org/W2982606590"],"abstract_inverted_index":{"Corners":[0],"are":[1,17,47,63,201,244],"important":[2],"features":[3],"for":[4],"image":[5,57,129,218],"analysis":[6],"and":[7,44,91,142,158,185,222,241],"computer":[8],"vision":[9],"tasks.":[10],"Local":[11],"structure":[12,76,167,196],"tensors":[13],"with":[14,118,169,198],"multiple":[15,119,170,199],"scales":[16,200],"widely":[18],"used":[19,202,245],"in":[20,67,95,144,187],"intensity-based":[21],"corner":[22,46,62,78,97,207],"detectors.":[23,268],"In":[24],"this":[25],"paper,":[26],"the":[27,56,83,106,124,133,138,145,149,152,174,178,188,194,211,229,236,248,265],"properties":[28,50,71,150],"of":[29,32,60,85,140,151,155,193],"intensity":[30,58,86,107,130,153,179],"variations":[31,59,87,108,154],"a":[33,61,101,164,205],"step":[34,156],"edge,":[35],"L-type":[36],"corner,":[37,41,43],"Y-":[38],"or":[39],"T-type":[40],"X-type":[42],"star-type":[45],"investigated.":[48],"The":[49,70,191,255],"that":[51,55,74,123,259],"we":[52],"obtained":[53],"indicate":[54],"not":[64],"always":[65],"large":[66],"all":[68,264],"directions.":[69],"also":[72],"demonstrate":[73],"existing":[75],"tensor-based":[77],"detection":[79,208,239],"methods":[80],"cannot":[81],"depict":[82,137,177],"differences":[84,181],"well":[88,182],"between":[89,183],"edges":[90,141,157,184],"corners":[92,143,159,186],"which":[93,172],"result":[94],"wrong":[96],"detections.":[98],"We":[99,121],"present":[100],"new":[102,125,165,206],"technique":[103,127],"to":[104,135,162,176,203,246],"extract":[105],"from":[109],"input":[110],"images":[111],"using":[112],"anisotropic":[113],"Gaussian":[114],"directional":[115],"derivative":[116],"filters":[117],"scales.":[120],"prove":[122],"extraction":[126],"on":[128,213,228,235],"variation":[131,180],"has":[132,173],"ability":[134,175],"accurately":[136],"characteristics":[139],"continuous":[146],"domain.":[147,190],"Furthermore,":[148],"enable":[160],"us":[161],"derive":[163],"multi-directional":[166,195],"tensor":[168,197],"scales,":[171],"discrete":[189],"eigenvalues":[192],"develop":[204],"method.":[209],"Finally,":[210],"criteria":[212],"average":[214],"repeatability":[215,226,232],"(under":[216],"affine":[217],"transformation,":[219],"JPEG":[220],"compression,":[221],"noise":[223],"degradation),":[224],"region":[225],"based":[227,234],"Oxford":[230],"dataset,":[231,238],"metric":[233],"DTU":[237],"accuracy,":[240],"localization":[242],"accuracy":[243],"evaluate":[247],"proposed":[249,261],"detector":[250,262],"against":[251],"ten":[252],"state-of-the-art":[253],"methods.":[254],"experimental":[256],"results":[257],"show":[258],"our":[260],"outperforms":[263],"other":[266],"tested":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
