{"id":"https://openalex.org/W1972807703","doi":"https://doi.org/10.1109/icassp.2013.6638141","title":"A fast and efficient sift detector using the mobile GPU","display_name":"A fast and efficient sift detector using the mobile GPU","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1972807703","doi":"https://doi.org/10.1109/icassp.2013.6638141","mag":"1972807703"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056042800","display_name":"Blaine Rister","orcid":"https://orcid.org/0000-0002-4490-0444"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Blaine Rister","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642263","display_name":"Guohui Wang","orcid":"https://orcid.org/0009-0006-8904-8626"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guohui Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034615694","display_name":"Michael Wu","orcid":"https://orcid.org/0009-0000-4659-2548"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085983829","display_name":"Joseph R. Cavallaro","orcid":"https://orcid.org/0000-0002-9841-1806"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph R. Cavallaro","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":7.6913,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97958239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8745773434638977},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8653318285942078},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.732907235622406},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6999843120574951},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6360350251197815},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5305699706077576},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5219345092773438},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.48628389835357666},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4593714773654938},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4583513140678406},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.44024035334587097},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4234033226966858},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.39421260356903076},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31182271242141724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.267315149307251},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.19487112760543823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17188507318496704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8745773434638977},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8653318285942078},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.732907235622406},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6999843120574951},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6360350251197815},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5305699706077576},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5219345092773438},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.48628389835357666},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4593714773654938},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4583513140678406},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.44024035334587097},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4234033226966858},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.39421260356903076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31182271242141724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.267315149307251},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.19487112760543823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17188507318496704},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2013.6638141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.711.222","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.711.222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://www.ece.rice.edu/%7Egw2/pdf/icassp2013_mobile_sift.pdf","raw_type":"text"},{"id":"pmh:oai:scholarship.rice.edu:1911/75008","is_oa":false,"landing_page_url":"http://hdl.handle.net/1911/75008","pdf_url":null,"source":{"id":"https://openalex.org/S4306401268","display_name":"Rice Digital Scholarship Archive (Rice University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74775410","host_organization_name":"Rice University","host_organization_lineage":["https://openalex.org/I74775410"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1579956793","https://openalex.org/W1597508330","https://openalex.org/W1901533779","https://openalex.org/W1975739335","https://openalex.org/W2040219967","https://openalex.org/W2042243448","https://openalex.org/W2077292087","https://openalex.org/W2083822463","https://openalex.org/W2092050091","https://openalex.org/W2119605622","https://openalex.org/W2119951674","https://openalex.org/W2127760637","https://openalex.org/W2146894470","https://openalex.org/W2151103935","https://openalex.org/W2165486426","https://openalex.org/W2177274842","https://openalex.org/W6639749753"],"related_works":["https://openalex.org/W2151046618","https://openalex.org/W1972148443","https://openalex.org/W1969233021","https://openalex.org/W2167646277","https://openalex.org/W2063573318","https://openalex.org/W2388314963","https://openalex.org/W3158047141","https://openalex.org/W1656096860","https://openalex.org/W2027443981","https://openalex.org/W151175334"],"abstract_inverted_index":{"Emerging":[0],"mobile":[1,38,48,79],"applications,":[2],"such":[3],"as":[4],"augmented":[5],"reality,":[6],"demand":[7],"robust":[8],"feature":[9,26],"detection":[10,27,117],"at":[11],"high":[12],"frame":[13],"rates.":[14],"We":[15,114],"present":[16],"an":[17,91],"implementation":[18],"of":[19,77,88],"the":[20,31,41,59,62,71,78,120],"popular":[21],"Scale-Invariant":[22],"Feature":[23],"Transform":[24],"(SIFT)":[25],"algorithm":[28],"that":[29,74],"incorporates":[30],"powerful":[32],"graphics":[33],"processing":[34],"unit":[35],"(GPU)":[36],"in":[37],"devices.":[39],"Where":[40],"usual":[42],"GPU":[43,102],"methods":[44],"are":[45,82],"inefficient":[46],"on":[47],"hardware,":[49],"we":[50,81,105],"propose":[51],"a":[52,86,96,100],"heterogeneous":[53],"dataflow":[54],"scheme.":[55],"By":[56],"methodically":[57],"partitioning":[58],"computation,":[60],"compressing":[61],"data":[63],"for":[64],"memory":[65],"transfers,":[66],"and":[67,95],"taking":[68],"into":[69],"account":[70],"unique":[72],"challenges":[73],"arise":[75],"out":[76],"GPU,":[80],"able":[83],"to":[84],"achieve":[85,115],"speedup":[87,98],"4-7x":[89],"over":[90,99],"optimized":[92],"CPU":[93],"version,":[94],"6.4x":[97],"published":[101],"implementation.":[103],"Additionally,":[104],"reduce":[106],"energy":[107],"consumption":[108],"by":[109],"87":[110],"percent":[111],"per":[112],"image.":[113],"near-realtime":[116],"without":[118],"compromising":[119],"original":[121],"algorithm.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
