{"id":"https://openalex.org/W2802015844","doi":"https://doi.org/10.1117/12.2310243","title":"Modification of YAPE keypoint detection algorithm for wide local contrast range images","display_name":"Modification of YAPE keypoint detection algorithm for wide local contrast range images","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2802015844","doi":"https://doi.org/10.1117/12.2310243","mag":"2802015844"},"language":"en","primary_location":{"id":"doi:10.1117/12.2310243","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2310243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry P. Nikolaev","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091753286","display_name":"Artem Lukoyanov","orcid":null},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Artem Lukoyanov","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)","Moscow Institute of Physics and Technology (State Univ.) (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Moscow Institute of Physics and Technology (State Univ.) (Russian Federation)","institution_ids":["https://openalex.org/I153845743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057679046","display_name":"\u0418\u0432\u0430\u043d \u041a\u043e\u043d\u043e\u0432\u0430\u043b\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0001-5705-4438"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Konovalenko","raw_affiliation_strings":["Institute for Information Transmission Problems (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066631478"],"corresponding_institution_ids":["https://openalex.org/I4210107660"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73875795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"104"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9970999956130981,"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/contrast","display_name":"Contrast (vision)","score":0.8398078680038452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6426061391830444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249960660934448},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5368697047233582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4780436158180237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45576298236846924},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.4392474293708801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4271206557750702},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4214820861816406},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4179965555667877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3028970956802368}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8398078680038452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6426061391830444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249960660934448},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5368697047233582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4780436158180237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45576298236846924},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.4392474293708801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4271206557750702},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4214820861816406},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4179965555667877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3028970956802368},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2310243","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2310243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1127554070","https://openalex.org/W1547922449","https://openalex.org/W1786196093","https://openalex.org/W1979596264","https://openalex.org/W2006982476","https://openalex.org/W2134774992","https://openalex.org/W2293123278","https://openalex.org/W2587594567","https://openalex.org/W6632830551","https://openalex.org/W6696950264","https://openalex.org/W6733763311"],"related_works":["https://openalex.org/W2163751115","https://openalex.org/W2586608483","https://openalex.org/W2988088379","https://openalex.org/W2625093041","https://openalex.org/W2733233723","https://openalex.org/W769135352","https://openalex.org/W2110445265","https://openalex.org/W2415838370","https://openalex.org/W3120218437","https://openalex.org/W1981560124"],"abstract_inverted_index":{"Keypoint":[0],"detection":[1,14,45],"is":[2,17,35,133],"an":[3],"important":[4],"tool":[5],"of":[6,32,64,119,125],"image":[7,124],"analysis,":[8],"and":[9,28,66,109],"among":[10],"many":[11],"contemporary":[12],"keypoint":[13],"algorithms":[15],"YAPE":[16,65],"known":[18],"for":[19,72,136],"its":[20,24,33],"computational":[21],"performance,":[22],"allowing":[23],"use":[25],"in":[26,47,53,107],"mobile":[27],"embedded":[29],"systems.":[30],"One":[31],"shortcomings":[34],"high":[36,44],"sensitivity":[37,63],"to":[38,43,141],"local":[39,79],"contrast":[40,62,80],"which":[41,70,126],"leads":[42],"density":[46],"high-contrast":[48],"areas":[49],"while":[50],"missing":[51],"detections":[52],"low-contrast":[54],"ones.":[55],"In":[56],"this":[57,73],"work":[58],"we":[59,92],"study":[60],"the":[61,94,117,123,137,142],"propose":[67],"a":[68,89],"modification":[69,139],"compensates":[71],"property":[74],"on":[75,122],"images":[76],"with":[77],"wide":[78],"range":[81],"(Yet":[82],"Another":[83],"Contrast-Invariant":[84],"Point":[85],"Extractor,":[86],"YACIPE).":[87],"As":[88],"model":[90],"example,":[91],"considered":[93],"traffic":[95,120],"sign":[96],"recognition":[97],"problem,":[98],"where":[99],"some":[100],"signs":[101,121],"are":[102,106],"well-lighted,":[103],"whereas":[104],"others":[105],"shadows":[108],"thus":[110],"have":[111],"low":[112],"contrast.":[113],"We":[114],"show":[115],"that":[116],"number":[118],"has":[127],"not":[128],"been":[129],"detected":[130],"any":[131],"keypoints":[132],"40%":[134],"less":[135],"proposed":[138],"compared":[140],"original":[143],"algorithm.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}