{"id":"https://openalex.org/W2294844163","doi":"https://doi.org/10.1109/icce.2016.7430680","title":"An implementation of an affine BRISK for mobile heterogeneous parallel processors","display_name":"An implementation of an affine BRISK for mobile heterogeneous parallel processors","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2294844163","doi":"https://doi.org/10.1109/icce.2016.7430680","mag":"2294844163"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2016.7430680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Consumer Electronics (ICCE)","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/A5100719564","display_name":"Chulhee Lee","orcid":"https://orcid.org/0000-0001-9085-2917"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chulhee Lee","raw_affiliation_strings":["Department of ECE, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066755055","display_name":"Chae Eun Rhee","orcid":"https://orcid.org/0000-0002-7851-1703"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chae Eun Rhee","raw_affiliation_strings":["Department of ECE, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024723558","display_name":"Hyuk\u2010Jae Lee","orcid":"https://orcid.org/0000-0001-6811-9647"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Department of ECE, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100719564"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00810579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"436"},"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":1.0,"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":1.0,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9896000027656555,"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/affine-transformation","display_name":"Affine transformation","score":0.8284583687782288},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.823278546333313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911202907562256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5851722359657288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597121715545654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5459746718406677},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5456940531730652},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.415352463722229},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.41228818893432617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3083842396736145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11082321405410767}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8284583687782288},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.823278546333313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911202907562256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5851722359657288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597121715545654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5459746718406677},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5456940531730652},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.415352463722229},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.41228818893432617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3083842396736145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11082321405410767},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/icce.2016.7430680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1970105322","https://openalex.org/W1980911747","https://openalex.org/W2049868887","https://openalex.org/W2052094314","https://openalex.org/W2113464030","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2170282673"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2030690614","https://openalex.org/W4237936143","https://openalex.org/W2049930962"],"abstract_inverted_index":{"As":[0],"the":[1,27,82,112,123,137],"computing":[2],"power":[3],"of":[4,11,26,84,101,114,129],"a":[5,9,19,31,77,151,155,164],"mobile":[6,20,78,138],"processor":[7],"increases,":[8],"number":[10],"computer":[12,32],"vision":[13,33],"applications":[14,75],"are":[15],"widely":[16],"used":[17,38,73],"by":[18,76,99,126],"device.":[21,79],"Feature":[22],"extraction":[23,131],"is":[24,37,53,104,148,161],"one":[25],"crucial":[28],"tasks":[29],"in":[30,74],"area":[34],"and":[35,45,58,132,140],"it":[36,67],"for":[39,69,117],"object":[40],"recognition,":[41],"panorama":[42],"image":[43],"generation":[44],"so":[46],"on.":[47],"The":[48,143,158],"affine":[49,88,94,115,133,145],"SIFT":[50,98],"(ASIFT)":[51],"feature":[52,130,147],"robust":[54,149],"to":[55,71,150],"scale,":[56],"rotation":[57],"viewpoint":[59,118,152],"changes":[60],"but":[61],"its":[62],"high":[63],"computational":[64],"complexity":[65,83,103],"makes":[66],"challenging":[68],"ASIFT":[70,85],"be":[72],"To":[80],"reduce":[81],"while":[86],"maintaining":[87],"invariance,":[89,119],"this":[90,120],"paper":[91,121],"proposes":[92],"an":[93],"BRISK":[95,100,146],"which":[96,102],"replaces":[97],"much":[105],"less":[106],"than":[107],"SIFT.":[108],"By":[109],"fully":[110],"exploiting":[111],"parallelism":[113],"transformation":[116,134],"achieves":[122],"speed":[124],"up":[125],"parallel":[127],"execution":[128],"running":[135],"on":[136,163],"CPU":[139],"GPU,":[141],"respectively.":[142],"proposed":[144],"change":[153],"with":[154],"comparable":[156],"accuracy.":[157],"processing":[159],"time":[160],"290.64ms":[162],"Galaxy":[165],"LTE-A":[166],"mobile.":[167]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
