{"id":"https://openalex.org/W2071269232","doi":"https://doi.org/10.1109/tencon.2013.6718842","title":"FPGA based implementation of FAST and BRIEF algorithm for object recognition","display_name":"FPGA based implementation of FAST and BRIEF algorithm for object recognition","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2071269232","doi":"https://doi.org/10.1109/tencon.2013.6718842","mag":"2071269232"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2013.6718842","doi":"https://doi.org/10.1109/tencon.2013.6718842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2013.6718842","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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":null,"display_name":"Hoon Heo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoon Heo","raw_affiliation_strings":["Dept. of Computer Engineering, Seokyeong University Seoul, Korea","[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Seokyeong University Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]},{"raw_affiliation_string":"[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]","institution_ids":["https://openalex.org/I55188197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024853471","display_name":"Jung-yong Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung-yong Lee","raw_affiliation_strings":["Dept. of Computer Engineering, Seokyeong University Seoul, Korea","[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Seokyeong University Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]},{"raw_affiliation_string":"[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]","institution_ids":["https://openalex.org/I55188197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068948322","display_name":"Kwang-Yeob Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-yeob Lee","raw_affiliation_strings":["Dept. of Computer Engineering, Seokyeong University Seoul, Korea","[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Seokyeong University Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]},{"raw_affiliation_string":"[Department of Computer Engineering, Seokyeong University, Seoul, South Korea]","institution_ids":["https://openalex.org/I55188197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059462369","display_name":"Chanho Lee","orcid":"https://orcid.org/0000-0001-6262-4036","observed_orcids":["https://orcid.org/0000-0001-6262-4036"]},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-ho Lee","raw_affiliation_strings":["School of Electronic Engineering, Soongsil University, Seoul, Korea","Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Soongsil University, Seoul, Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea#TAB#","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4217,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.5322867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.5903000235557556,"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":0.5903000235557556,"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/T13292","display_name":"Embedded Systems and FPGA Applications","score":0.29829999804496765,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10904","display_name":"Embedded Systems Design Techniques","score":0.07270000129938126,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/fast-corner-detection","display_name":"FAST corner detection","score":0.7820000052452087},{"id":"https://openalex.org/keywords/brief-descriptor","display_name":"BRIEF descriptor","score":0.9259999990463257},{"id":"https://openalex.org/keywords/fpga-accelerator","display_name":"FPGA accelerator","score":0.7350000143051147},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.8820000290870667},{"id":"https://openalex.org/keywords/feature-based-matching","display_name":"feature-based matching","score":0.652999997138977},{"id":"https://openalex.org/keywords/zynq-7000-soc","display_name":"Zynq-7000 SoC","score":0.9440000057220459},{"id":"https://openalex.org/keywords/memory-reduction","display_name":"memory reduction","score":0.6980000138282776},{"id":"https://openalex.org/keywords/hardware-cost-reduction","display_name":"hardware cost reduction","score":0.9049999713897705},{"id":"https://openalex.org/keywords/real-time-feature-extraction","display_name":"real-time feature extraction","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8170992136001587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763683795928955},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6849812269210815},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5876722931861877},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5621466636657715},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5093544721603394},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5019478797912598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4611968994140625},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44834983348846436},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4175894260406494},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3758615255355835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3482655882835388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3183719515800476},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2013.6718842","doi":"https://doi.org/10.1109/tencon.2013.6718842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2013.6718842","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321640","display_name":"Ministry of Knowledge Economy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1502916507","https://openalex.org/W1532362218","https://openalex.org/W1677409904","https://openalex.org/W2119605622","https://openalex.org/W2126919075","https://openalex.org/W2151103935","https://openalex.org/W2404649826"],"related_works":["https://openalex.org/W7095746273","https://openalex.org/W2398777448","https://openalex.org/W2317649943","https://openalex.org/W2786106441","https://openalex.org/W3163319074","https://openalex.org/W2913975940","https://openalex.org/W1992685360","https://openalex.org/W2534989963","https://openalex.org/W2404649826","https://openalex.org/W3009879706"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"implemented":[4,23],"the":[5,25,59],"conventional":[6,60],"FAST":[7,41],"and":[8,36,52,65],"BRIEF":[9,43],"algorithm":[10],"as":[11],"hardware":[12,19,37,55],"on":[13],"Zynq-7000":[14],"SoC":[15],"Platform.":[16],"Previous":[17],"feature-based":[18],"accelerator":[20,44],"is":[21],"mostly":[22],"using":[24],"SIFT":[26,61],"or":[27,62],"SURF":[28,63],"algorithm,":[29],"but":[30],"it":[31,66],"requires":[32],"excessive":[33],"internal":[34,49],"memory":[35,50],"cost.":[38],"The":[39],"proposed":[40],"&":[42],"reduces":[45],"approximately":[46],"57%":[47],"of":[48,54],"usage":[51],"70%":[53],"cost":[56],"compared":[57],"to":[58],"accelerator,":[64],"processes":[67],"0.17":[68],"pixel":[69],"per":[70],"clock.":[71]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}