{"id":"https://openalex.org/W2763660685","doi":"https://doi.org/10.1137/18m1190690","title":"Angular Accuracy of Steerable Feature Detectors","display_name":"Angular Accuracy of Steerable Feature Detectors","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2763660685","doi":"https://doi.org/10.1137/18m1190690","mag":"2763660685"},"language":"en","primary_location":{"id":"doi:10.1137/18m1190690","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1190690","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.03631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043999950","display_name":"Zsuzsanna P\u00fcsp\u00f6ki","orcid":"https://orcid.org/0000-0002-1807-9525"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zsuzsanna P\u00fcsp\u00f6ki","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1807-9525","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015119381","display_name":"Julien Fageot","orcid":"https://orcid.org/0000-0002-2122-2580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julien Fageot","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041650263","display_name":"Arash Amini","orcid":"https://orcid.org/0000-0002-3713-8674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arash Amini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038321378","display_name":"John Paul Ward","orcid":"https://orcid.org/0000-0003-0289-117X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Paul Ward","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027830035","display_name":"Micha\u00ebl Unser","orcid":"https://orcid.org/0000-0003-1248-2513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Unser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00195211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"1","first_page":"344","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996399998664856,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9897000193595886,"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/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.8532876968383789},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6989557147026062},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6973406672477722},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5382485389709473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5093961358070374},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5038504004478455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46955400705337524},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.451797217130661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4351334571838379},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.43226465582847595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42745882272720337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40539655089378357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1700955331325531},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11302328109741211},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09005388617515564}],"concepts":[{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.8532876968383789},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6989557147026062},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6973406672477722},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5382485389709473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5093961358070374},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5038504004478455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46955400705337524},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.451797217130661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4351334571838379},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.43226465582847595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42745882272720337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40539655089378357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1700955331325531},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11302328109741211},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09005388617515564},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1137/18m1190690","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1190690","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1710.03631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03631","pdf_url":"https://arxiv.org/pdf/1710.03631","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2763660685","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1710.03631.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:infoscience.epfl.ch:267115","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/157847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"research article"},{"id":"doi:10.48550/arxiv.1710.03631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.03631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.03631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03631","pdf_url":"https://arxiv.org/pdf/1710.03631","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6416190020","display_name":null,"funder_award_id":"267439","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G8353565506","display_name":"A functional framework for sparse, non-gaussian signal processing and bioimaging","funder_award_id":"267439","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321942","display_name":"Hasler Stiftung","ror":"https://ror.org/04m3t9183"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W131659814","https://openalex.org/W606515514","https://openalex.org/W1545934923","https://openalex.org/W1692363837","https://openalex.org/W1965392255","https://openalex.org/W1966256657","https://openalex.org/W1970560687","https://openalex.org/W1991605728","https://openalex.org/W2003513369","https://openalex.org/W2003877941","https://openalex.org/W2016938585","https://openalex.org/W2021537669","https://openalex.org/W2029310090","https://openalex.org/W2031753087","https://openalex.org/W2042497109","https://openalex.org/W2042583427","https://openalex.org/W2045551387","https://openalex.org/W2057075464","https://openalex.org/W2057477395","https://openalex.org/W2062024414","https://openalex.org/W2066047996","https://openalex.org/W2068189057","https://openalex.org/W2085145494","https://openalex.org/W2086374833","https://openalex.org/W2087423617","https://openalex.org/W2102048636","https://openalex.org/W2105548357","https://openalex.org/W2107790757","https://openalex.org/W2108229101","https://openalex.org/W2113595684","https://openalex.org/W2126221001","https://openalex.org/W2127006916","https://openalex.org/W2127529215","https://openalex.org/W2135269154","https://openalex.org/W2136578436","https://openalex.org/W2137584359","https://openalex.org/W2143623375","https://openalex.org/W2145023731","https://openalex.org/W2149548037","https://openalex.org/W2151821220","https://openalex.org/W2158270878","https://openalex.org/W2159318977","https://openalex.org/W2160051566","https://openalex.org/W2190195640","https://openalex.org/W2206590685","https://openalex.org/W2322977822","https://openalex.org/W2397071937","https://openalex.org/W2563709626"],"related_works":["https://openalex.org/W1585136199","https://openalex.org/W1594558155","https://openalex.org/W2062245708","https://openalex.org/W117840092","https://openalex.org/W1524801831","https://openalex.org/W2133725780","https://openalex.org/W2962738575","https://openalex.org/W2107941216","https://openalex.org/W2041662820","https://openalex.org/W2068938378","https://openalex.org/W2983053976","https://openalex.org/W1853456770","https://openalex.org/W3137674426","https://openalex.org/W3153868329","https://openalex.org/W2996182200","https://openalex.org/W2745034376","https://openalex.org/W1979500456","https://openalex.org/W2972089994","https://openalex.org/W2917173976","https://openalex.org/W2614079375"],"abstract_inverted_index":{"The":[0],"detection":[1,32,153],"of":[2,7,45,68,70,102,140,144,152,161,185,191,194,201,215,218,238],"landmarks":[3],"or":[4],"patterns":[5],"is":[6,62,84,115],"interest":[8],"for":[9,17,211],"extracting":[10],"features":[11],"in":[12,25,159,189],"biological":[13],"images.":[14],"Hence,":[15],"algorithms":[16],"finding":[18],"these":[19],"keypoints":[20],"have":[21],"been":[22],"extensively":[23],"investigated":[24],"the":[26,42,57,63,66,78,82,112,128,135,138,141,150,170,177,182,186,192,205,216,219,225,236,249,253],"literature,":[27],"and":[28,31,196,245],"their":[29],"localization":[30],"properties":[33],"are":[34,222],"well":[35],"known.":[36],"In":[37],"this":[38,92],"paper,":[39],"we":[40,60,94,180,231,259],"study":[41,134],"complementary":[43],"topic":[44],"local":[46],"orientation":[47],"estimation,":[48],"which":[49],"has":[50],"not":[51],"received":[52],"similar":[53],"attention.":[54],"Simply":[55],"stated,":[56],"problem":[58],"that":[59,111,203,248],"address":[61],"following:":[64],"estimate":[65],"angle":[67],"rotation":[69],"a":[71,123,165,209],"pattern":[72],"with":[73,105,241],"steerable":[74,157,262],"filters":[75,158],"centered":[76],"at":[77,148],"same":[79],"location,":[80],"where":[81],"image":[83],"corrupted":[85],"by":[86,224],"colored":[87],"isotropic":[88],"Gaussian":[89],"noise.":[90],"For":[91],"problem,":[93],"propose":[95,197],"an":[96,198,257],"estimator":[97,114],"formulated":[98],"as":[99],"linear":[100],"combinations":[101],"circular":[103,239],"harmonics":[104,240],"given":[106,242],"radial":[107,243],"profiles.":[108],"We":[109,146,207],"prove":[110],"proposed":[113],"unbiased.":[116],"This":[117],"property":[118],"allows":[119],"us":[120],"to":[121,133,172,235],"use":[122],"statistical":[124],"framework":[125],"based":[126,155],"on":[127,137,156],"Cram\u00e9r--Rao":[129],"lower":[130,166,187],"bound":[131,188],"(CRLB)":[132],"limits":[136],"accuracy":[139,163,251],"corresponding":[142],"class":[143],"estimators.":[145],"aim":[147],"evaluating":[149],"performance":[151],"methods":[154],"terms":[160,190],"angular":[162,228],"(as":[164],"bound),":[167],"while":[168],"considering":[169],"connection":[171],"maximum":[173],"likelihood":[174],"estimation.":[175],"Beyond":[176],"general":[178],"results,":[179],"analyze":[181],"asymptotic":[183],"behavior":[184],"order":[193],"steerablility":[195],"optimal":[199,213],"subset":[200],"components":[202],"minimizes":[204],"bound.":[206],"define":[208],"mechanism":[210],"selecting":[212],"subspaces":[214],"span":[217,237],"detectors.":[220,264],"These":[221],"characterized":[223],"most":[226],"relevant":[227],"frequencies.":[229],"Finally,":[230],"project":[232],"our":[233],"template":[234],"profiles":[244],"experimentally":[246],"show":[247],"prediction":[250],"achieves":[252],"predicted":[254],"CRLB.":[255],"As":[256],"extension,":[258],"also":[260],"consider":[261],"wavelet":[263]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
