{"id":"https://openalex.org/W2344607744","doi":"https://doi.org/10.5220/0005662005170525","title":"Feature Detection and Description using a Harris-Hessian/FREAK Combination on an Embedded GPU","display_name":"Feature Detection and Description using a Harris-Hessian/FREAK Combination on an Embedded GPU","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2344607744","doi":"https://doi.org/10.5220/0005662005170525","mag":"2344607744"},"language":"en","primary_location":{"id":"doi:10.5220/0005662005170525","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005662005170525","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005662005170525","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077219058","display_name":"Max Danielsson","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Max Danielsson","raw_affiliation_strings":["Blekinge Institute of Technology, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084095427","display_name":"Thomas Sievert","orcid":"https://orcid.org/0000-0002-2856-6140"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Thomas Sievert","raw_affiliation_strings":["Blekinge Institute of Technology, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032002580","display_name":"H\u00e5kan Grahn","orcid":"https://orcid.org/0000-0001-9947-1088"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"H\u00e5kan Grahn","raw_affiliation_strings":["Blekinge Institute of Technology, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Blekinge Institute of Technology, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083152086","display_name":"Jim Rasmusson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102622","display_name":"Mobile Heights (Sweden)","ror":"https://ror.org/016cc6840","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210102622"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jim Rasmusson","raw_affiliation_strings":["Sony Mobile Communications, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Mobile Communications, Sweden","institution_ids":["https://openalex.org/I4210102622"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.338,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64948657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"525"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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":0.9858999848365784,"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/freak","display_name":"FREAK","score":0.9689919948577881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8617225289344788},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.803647518157959},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6086437702178955},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5349408984184265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5003519058227539},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4336472153663635},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.4179638624191284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4121474623680115},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3611986041069031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476621210575104},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3471527695655823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3367456793785095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23238754272460938}],"concepts":[{"id":"https://openalex.org/C2776717989","wikidata":"https://www.wikidata.org/wiki/Q19410276","display_name":"FREAK","level":2,"score":0.9689919948577881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617225289344788},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.803647518157959},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6086437702178955},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5349408984184265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5003519058227539},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4336472153663635},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.4179638624191284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4121474623680115},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3611986041069031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476621210575104},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3471527695655823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3367456793785095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23238754272460938},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0005662005170525","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005662005170525","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:eef9fdb0-fbe5-45cb-9300-ef7405d18f84","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/eef9fdb0-fbe5-45cb-9300-ef7405d18f84","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"contributiontobookanthology/conference"}],"best_oa_location":{"id":"doi:10.5220/0005662005170525","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005662005170525","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1528209651","https://openalex.org/W1677409904","https://openalex.org/W1995266040","https://openalex.org/W2077292087","https://openalex.org/W2111308925","https://openalex.org/W2141584146","https://openalex.org/W2143018513"],"related_works":["https://openalex.org/W2763857245","https://openalex.org/W2058533044","https://openalex.org/W2588917404","https://openalex.org/W2761581696","https://openalex.org/W2763975335","https://openalex.org/W1539138098","https://openalex.org/W2179947151","https://openalex.org/W4235482302","https://openalex.org/W785876182","https://openalex.org/W2067627891"],"abstract_inverted_index":{"GPUs":[0],"in":[1,48,122],"embedded":[2],"platforms":[3],"are":[4,97],"reaching":[5],"performance":[6,109],"levels":[7],"comparable":[8],"to":[9,16,118],"desktop":[10,82,103],"hardware,":[11],"thus":[12],"it":[13],"becomes":[14],"interesting":[15],"apply":[17],"Computer":[18],"Vision":[19],"techniques.":[20],"We":[21,59],"propose,":[22],"implement,":[23],"and":[24,30,50,56,68,80],"evaluate":[25,52],"a":[26],"novel":[27],"feature":[28],"detector":[29,38],"descriptor":[31],"combination,":[32],"i.e.,":[33],"we":[34,51],"combine":[35],"the":[36,40,53,75,81,90,94,114],"Harris-Hessian":[37],"with":[39,63],"FREAK":[41],"binary":[42],"descriptor.":[43],"The":[44],"implementation":[45],"is":[46,72,116],"done":[47],"OpenCL,":[49],"execution":[54,91,104],"time":[55],"classification":[57],"performance.":[58],"compare":[60],"our":[61],"approach":[62],"two":[64],"other":[65],"methods,":[66],"FAST/BRISK":[67],"ORB.":[69],"Performance":[70],"data":[71],"presented":[73],"for":[74,99],"mobile":[76],"device":[77],"Xperia":[78,95],"Z3":[79,96],"Nvidia":[83],"GTX":[84],"660.":[85],"Our":[86],"results":[87],"indicate":[88],"that":[89,113],"times":[92],"on":[93],"insufficient":[98],"real-time":[100],"applications":[101],"while":[102],"shows":[105],"future":[106],"potential.":[107],"Classification":[108],"of":[110],"Harris-Hessian/FREAK":[111],"indicates":[112],"solution":[115],"sensitive":[117],"rotation,":[119],"but":[120],"superior":[121],"scale":[123],"variant":[124],"images.":[125]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
