{"id":"https://openalex.org/W2883026055","doi":null,"title":"From handcrafted to deep local invariant features","display_name":"From handcrafted to deep local invariant features","publication_year":2018,"publication_date":"2018-07-26","ids":{"openalex":"https://openalex.org/W2883026055","mag":"2883026055"},"language":"en","primary_location":{"id":"mag:2883026055","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1807.10254v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/1807.10254v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109475590","display_name":"Gabriela Csurka","orcid":"https://orcid.org/0009-0005-1067-1056","observed_orcids":["https://orcid.org/0009-0005-1067-1056"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriela Csurka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050722856","display_name":"Martin Humenberger","orcid":"https://orcid.org/0000-0003-0600-9164","observed_orcids":["https://orcid.org/0000-0003-0600-9164"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Humenberger","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0600-9164","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9970999956130981,"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":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0017999999690800905,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/local-invariant-features","display_name":"local invariant features","score":0.9610000252723694},{"id":"https://openalex.org/keywords/handcrafted-features","display_name":"handcrafted features","score":0.7639999985694885},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.8799999952316284},{"id":"https://openalex.org/keywords/feature-localization","display_name":"feature localization","score":0.5950000286102295},{"id":"https://openalex.org/keywords/feature-matching","display_name":"feature matching","score":0.35499998927116394},{"id":"https://openalex.org/keywords/benchmark-dataset","display_name":"benchmark dataset","score":0.3199999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826564908027649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.674012303352356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6083225607872009},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.48798030614852905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.451614648103714},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42149531841278076},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2883026055","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1807.10254v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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}],"best_oa_location":{"id":"mag:2883026055","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1807.10254v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1491719799","https://openalex.org/W1519967467","https://openalex.org/W1532362218","https://openalex.org/W1554663460","https://openalex.org/W1625255723","https://openalex.org/W1646493568","https://openalex.org/W1744214816","https://openalex.org/W1893620550","https://openalex.org/W1901447884","https://openalex.org/W1923967535","https://openalex.org/W1929856797","https://openalex.org/W1939575207","https://openalex.org/W1953691509","https://openalex.org/W1955055330","https://openalex.org/W1956333070","https://openalex.org/W1963645470","https://openalex.org/W1966805040","https://openalex.org/W1975056068","https://openalex.org/W1979931042","https://openalex.org/W1992047056","https://openalex.org/W1995266040","https://openalex.org/W2000701155","https://openalex.org/W2007178811","https://openalex.org/W2012592962","https://openalex.org/W2028960610","https://openalex.org/W2044520258","https://openalex.org/W2046434485","https://openalex.org/W2048710758","https://openalex.org/W2055685931","https://openalex.org/W2071285205","https://openalex.org/W2084363474","https://openalex.org/W2085261163","https://openalex.org/W2086504823","https://openalex.org/W2089888558","https://openalex.org/W2096199223","https://openalex.org/W2099046646","https://openalex.org/W2100364902","https://openalex.org/W2104853049","https://openalex.org/W2106053110","https://openalex.org/W2108444897","https://openalex.org/W2111308925","https://openalex.org/W2115362620","https://openalex.org/W2118153703","https://openalex.org/W2124404372","https://openalex.org/W2125434107","https://openalex.org/W2128237624","https://openalex.org/W2129404737","https://openalex.org/W2130017587","https://openalex.org/W2134514757","https://openalex.org/W2137278143","https://openalex.org/W2141362318","https://openalex.org/W2141584146","https://openalex.org/W2145072179","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2156406284","https://openalex.org/W2177274842","https://openalex.org/W2207125444","https://openalex.org/W2293670510","https://openalex.org/W2320444803","https://openalex.org/W2344947483","https://openalex.org/W2345643369","https://openalex.org/W2461086877","https://openalex.org/W2471962767","https://openalex.org/W2555897561","https://openalex.org/W2612112834","https://openalex.org/W2737094507","https://openalex.org/W2737260104","https://openalex.org/W2743674619","https://openalex.org/W2745839262","https://openalex.org/W2754925132","https://openalex.org/W2775929773","https://openalex.org/W2777921528","https://openalex.org/W2795607302","https://openalex.org/W2886927008","https://openalex.org/W2911652069","https://openalex.org/W2913429812","https://openalex.org/W2962708773","https://openalex.org/W2963284197","https://openalex.org/W2963502507","https://openalex.org/W2963713828","https://openalex.org/W2963748588","https://openalex.org/W2964157791","https://openalex.org/W4213154849"],"related_works":["https://openalex.org/W2951062734","https://openalex.org/W2135530210","https://openalex.org/W3085969220","https://openalex.org/W4248677252","https://openalex.org/W4391462706","https://openalex.org/W2966838560","https://openalex.org/W4394990251","https://openalex.org/W3100205795","https://openalex.org/W2737094507","https://openalex.org/W2807092842"],"abstract_inverted_index":{"This":[0,87],"paper":[1],"presents":[2],"an":[3],"overview":[4],"of":[5,8,20,41,57,100,111,148],"the":[6,38,42,55,93,98,140,149],"evolution":[7],"local":[9,27],"features":[10,43],"from":[11],"handcrafted":[12,69,121],"to":[13,63,95,107,128,138,146],"deep-learning-based":[14],"methods,":[15,50,70],"followed":[16,71],"by":[17,33,72],"a":[18],"discussion":[19],"several":[21],"benchmarks":[22],"and":[23,53,60,79,102,123,132,152],"papers":[24],"evaluating":[25],"such":[26],"features.":[28],"Our":[29],"investigations":[30],"are":[31],"motivated":[32],"3D":[34],"reconstruction":[35],"problems,":[36],"where":[37],"precise":[39],"location":[40],"is":[44,136],"important.":[45],"As":[46],"we":[47,51,81],"describe":[48],"these":[49],"highlight":[52],"explain":[54],"challenges":[56],"feature":[58],"extraction":[59],"potential":[61],"ways":[62],"overcome":[64],"them.":[65],"We":[66,142],"first":[67],"present":[68],"methods":[73,83,122],"based":[74,84],"on":[75,85],"classical":[76],"machine":[77,134],"learning":[78,135],"finally":[80],"discuss":[82],"deep-learning.":[86],"largely":[88],"chronologically-ordered":[89],"presentation":[90],"will":[91],"help":[92,127],"reader":[94],"fully":[96],"understand":[97,129],"topic":[99],"image":[101],"region":[103],"description":[104],"in":[105,113],"order":[106],"make":[108],"best":[109],"use":[110],"it":[112],"modern":[114,130],"computer":[115],"vision":[116],"applications.":[117],"In":[118],"particular,":[119],"understanding":[120],"their":[124],"motivation":[125],"can":[126],"approaches":[131],"how":[133],"used":[137],"improve":[139],"results.":[141],"also":[143],"provide":[144],"references":[145],"most":[147],"relevant":[150],"literature":[151],"code.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-08-03T00:00:00"}