{"id":"https://openalex.org/W2094373424","doi":"https://doi.org/10.1109/sii.2012.6427366","title":"Detection of scale-invariant key points employing a resistive network","display_name":"Detection of scale-invariant key points employing a resistive network","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2094373424","doi":"https://doi.org/10.1109/sii.2012.6427366","mag":"2094373424"},"language":"en","primary_location":{"id":"doi:10.1109/sii.2012.6427366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2012.6427366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/SICE International Symposium on System Integration (SII)","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/A5069790125","display_name":"Shinsuke Yasukawa","orcid":"https://orcid.org/0000-0002-1544-2966"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shinsuke Yasukawa","raw_affiliation_strings":["Division of Electrical, Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan"],"affiliations":[{"raw_affiliation_string":"Division of Electrical, Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103440526","display_name":"Hirotsugu Okuno","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotsugu Okuno","raw_affiliation_strings":["Division of Electrical Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan"],"affiliations":[{"raw_affiliation_string":"Division of Electrical Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101666642","display_name":"T. Yagi","orcid":"https://orcid.org/0000-0002-6912-092X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Yagi","raw_affiliation_strings":["Division of Electrical Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan"],"affiliations":[{"raw_affiliation_string":"Division of Electrical Electronic and Information Engineering, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Division of Electrical, Electronic and Information Engineering, Osaka University, 2-1 Yamadaoka,Suita,Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069790125"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59476661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"110","issue":null,"first_page":"877","last_page":"882"},"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":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9966999888420105,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9680577516555786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.58823162317276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.586560070514679},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5821152329444885},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5612892508506775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5430223345756531},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5170498490333557},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46040308475494385},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4410066306591034},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.42155253887176514},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.4197613000869751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3603219985961914},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3465188443660736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28867876529693604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22681862115859985}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9680577516555786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58823162317276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.586560070514679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5821152329444885},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5612892508506775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5430223345756531},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5170498490333557},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46040308475494385},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4410066306591034},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.42155253887176514},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.4197613000869751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3603219985961914},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3465188443660736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28867876529693604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22681862115859985},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii.2012.6427366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2012.6427366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W176729393","https://openalex.org/W1578671836","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W1885883860","https://openalex.org/W2022735534","https://openalex.org/W2042243448","https://openalex.org/W2097284115","https://openalex.org/W2109863423","https://openalex.org/W2120711457","https://openalex.org/W2124386111","https://openalex.org/W2133155955","https://openalex.org/W2145072179","https://openalex.org/W2149646227","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W4243684731","https://openalex.org/W6607182440","https://openalex.org/W6637324600","https://openalex.org/W6637400245","https://openalex.org/W6639639388"],"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/W2316074893","https://openalex.org/W2049930962","https://openalex.org/W2094373424"],"abstract_inverted_index":{"We":[0,125],"assessed":[1],"the":[2,12,23,27,98,109,115,118,122,127,131,146,151,156,159],"feasibility":[3],"of":[4,26,49,102,121,150,158],"applying":[5],"a":[6,135],"resistive":[7],"network":[8],"(RN)":[9],"filter":[10,96,133],"to":[11,36,45,55,67,92,97],"scale-invariant":[13],"feature":[14],"transform":[15],"(SIFT)":[16],"algorithm":[17,32,62,100,129],"by":[18],"performing":[19],"computer":[20,34],"simulations":[21],"for":[22,33],"hardware":[24],"implementation":[25],"filter.":[28],"SIFT":[29,61,99,111,128],"is":[30,53,106],"an":[31,78,94],"vision":[35],"describe":[37],"and":[38,47,137,154],"detect":[39],"local":[40],"features":[41],"that":[42,140,155],"are":[43],"invariant":[44],"scale":[46,157],"rotation":[48],"objects.":[50],"However,":[51],"it":[52],"difficult":[54],"perform":[56],"multiple":[57],"spatial":[58,82,119],"filterings":[59],"in":[60,63,108,117],"real":[64],"time":[65],"due":[66],"its":[68],"high":[69],"computational":[70],"cost.":[71],"To":[72],"solve":[73],"this":[74],"problem,":[75],"we":[76,113,138],"employed":[77,107],"RN":[79,95,132],"which":[80,105],"performs":[81],"filtering":[83],"instantaneously":[84],"with":[85],"extremely":[86],"low":[87],"power":[88],"dissipation.":[89],"In":[90],"order":[91],"apply":[93],"instead":[101],"Gaussian":[103],"filter,":[104],"original":[110],"algorithm,":[112],"investigated":[114],"difference":[116],"properties":[120],"two":[123],"filters.":[124],"simulated":[126],"employing":[130],"on":[134],"computer,":[136],"demonstrated":[139],"key":[141,160],"points":[142],"were":[143],"detected":[144,163],"at":[145],"same":[147],"place":[148],"irrespective":[149],"image":[152],"size,":[153],"point":[161],"was":[162],"appropriately.":[164]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}