{"id":"https://openalex.org/W2605349868","doi":"https://doi.org/10.1109/icit.2017.7915508","title":"Recent advances in features extraction and description algorithms: A comprehensive survey","display_name":"Recent advances in features extraction and description algorithms: A comprehensive survey","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2605349868","doi":"https://doi.org/10.1109/icit.2017.7915508","mag":"2605349868"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2017.7915508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7915508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","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/A5112315544","display_name":"Ehab Salahat","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ehab Salahat","raw_affiliation_strings":["Institut d'Electronique et de T\u00e9l\u00e9communications de Rennes (IETR), UMR CNRS6164 Universit\u00e9 de Rennes 1, France"],"affiliations":[{"raw_affiliation_string":"Institut d'Electronique et de T\u00e9l\u00e9communications de Rennes (IETR), UMR CNRS6164 Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085156813","display_name":"Murad Qasaimeh","orcid":"https://orcid.org/0000-0003-0250-0466"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Murad Qasaimeh","raw_affiliation_strings":["Institut d'Electronique et de T\u00e9l\u00e9communications de Rennes (IETR), UMR CNRS6164 Universit\u00e9 de Rennes 1, France"],"affiliations":[{"raw_affiliation_string":"Institut d'Electronique et de T\u00e9l\u00e9communications de Rennes (IETR), UMR CNRS6164 Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112315544"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":5.8254,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.97660468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1059","last_page":"1063"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937000274658203,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448554039001465},{"id":"https://openalex.org/keywords/sight","display_name":"Sight","score":0.6063723564147949},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5784372091293335},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5548191070556641},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5518761277198792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5129525065422058},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4794967770576477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40832147002220154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448554039001465},{"id":"https://openalex.org/C1517167","wikidata":"https://www.wikidata.org/wiki/Q1134322","display_name":"Sight","level":2,"score":0.6063723564147949},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5784372091293335},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5548191070556641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5518761277198792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5129525065422058},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4794967770576477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40832147002220154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2017.7915508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7915508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1148193589","https://openalex.org/W1505641881","https://openalex.org/W1539000009","https://openalex.org/W1850186504","https://openalex.org/W1852915548","https://openalex.org/W1966811077","https://openalex.org/W1967140145","https://openalex.org/W1980911747","https://openalex.org/W2000356541","https://openalex.org/W2005107673","https://openalex.org/W2022903746","https://openalex.org/W2043342205","https://openalex.org/W2052094314","https://openalex.org/W2077086634","https://openalex.org/W2100297523","https://openalex.org/W2118153703","https://openalex.org/W2118572719","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2135414774","https://openalex.org/W2138732321","https://openalex.org/W2145072179","https://openalex.org/W2171499725","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W2274527007","https://openalex.org/W2279416688","https://openalex.org/W2290400697","https://openalex.org/W4205398292","https://openalex.org/W4213154849","https://openalex.org/W6627646002","https://openalex.org/W6685266013"],"related_works":["https://openalex.org/W3214178347","https://openalex.org/W2353119552","https://openalex.org/W2364379655","https://openalex.org/W2808673637","https://openalex.org/W2408516727","https://openalex.org/W2990201137","https://openalex.org/W4247920850","https://openalex.org/W2383259906","https://openalex.org/W637378572","https://openalex.org/W2377764586"],"abstract_inverted_index":{"Computer":[0],"vision":[1],"is":[2,102,121],"one":[3],"of":[4,30,50,53,72,94,172,175],"the":[5,18,24,28,48,51,70,129,164,173],"most":[6],"active":[7],"research":[8],"fields":[9],"in":[10,80,134],"information":[11],"technology":[12],"today.":[13],"Giving":[14],"machines":[15,55],"and":[16,22,36,40,56,83,87,109,116,131,137,151,155,163],"robots":[17],"ability":[19],"to":[20,97,104,123,180],"see":[21],"comprehend":[23],"surrounding":[25],"world":[26],"at":[27],"speed":[29,71],"sight":[31,73],"creates":[32],"endless":[33],"potential":[34],"applications":[35],"opportunities.":[37],"Feature":[38,167],"detection":[39,136],"description":[41,138],"algorithms":[42,60],"can":[43],"be":[44],"indeed":[45],"considered":[46],"as":[47,111,113],"retina":[49],"eyes":[52],"such":[54],"robots.":[57],"However,":[58],"these":[59],"are":[61,178],"typically":[62],"computationally":[63],"intensive,":[64],"which":[65],"prevents":[66],"them":[67],"from":[68],"achieving":[69],"real-time":[74],"performance.":[75],"In":[76],"addition,":[77],"they":[78],"differ":[79],"their":[81,107,114,153,176,182],"capabilities":[82],"some":[84],"may":[85],"favor":[86],"work":[88],"better":[89],"given":[90],"a":[91,125],"specific":[92],"type":[93],"input":[95],"compared":[96],"others.":[98],"As":[99],"such,":[100],"it":[101,141],"essential":[103],"compactly":[105],"report":[106,181],"pros":[108],"cons":[110],"well":[112],"performances":[115],"recent":[117,132,183],"advances.":[118],"This":[119],"paper":[120],"dedicated":[122],"provide":[124],"comprehensive":[126],"overview":[127],"on":[128],"state-of-the-art":[130],"advances":[133],"feature":[135],"algorithms.":[139],"Specifically,":[140],"starts":[142],"by":[143],"overviewing":[144],"fundamental":[145],"concepts.":[146],"It":[147],"then":[148],"compares,":[149],"reports":[150],"discusses":[152],"performance":[154],"capabilities.":[156],"The":[157],"Maximally":[158],"Stable":[159],"Extremal":[160],"Regions":[161],"algorithm":[162],"Scale":[165],"Invariant":[166],"Transform":[168],"algorithms,":[169],"being":[170],"two":[171],"best":[174],"type,":[177],"selected":[179],"algorithmic":[184],"derivatives.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
