{"id":"https://openalex.org/W2204835611","doi":"https://doi.org/10.1109/ipta.2015.7367139","title":"cFAST: A fast color feature detector","display_name":"cFAST: A fast color feature detector","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2204835611","doi":"https://doi.org/10.1109/ipta.2015.7367139","mag":"2204835611"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2015.7367139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5012172509","display_name":"C. Robert Pech","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"C. Robert Pech","raw_affiliation_strings":["Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045896711","display_name":"Jens Vial","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Vial","raw_affiliation_strings":["Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004958444","display_name":"Andreas Zell","orcid":"https://orcid.org/0000-0003-3299-2211"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Zell","raw_affiliation_strings":["Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Cognitive Systems, University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012172509"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.10795283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"253"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9884999990463257,"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/detector","display_name":"Detector","score":0.7501897215843201},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.730396568775177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900116205215454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677331924438477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6336808204650879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6051276922225952},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.575218677520752},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5676040649414062},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.45468661189079285},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07729998230934143},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07443356513977051}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7501897215843201},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.730396568775177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900116205215454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677331924438477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6336808204650879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6051276922225952},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.575218677520752},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5676040649414062},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.45468661189079285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07729998230934143},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07443356513977051},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2015.7367139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2015.7367139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":9,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W2033379850","https://openalex.org/W2062847751","https://openalex.org/W2092084257","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2145862222","https://openalex.org/W2151103935","https://openalex.org/W2170282673"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2074467390","https://openalex.org/W2174745845","https://openalex.org/W3189572500"],"abstract_inverted_index":{"By":[0],"extending":[1],"the":[2,38,41,46,54,99,107],"basic":[3],"idea":[4],"of":[5,30,35,40,66,102,113],"FAST":[6,67,84],"it":[7,25],"is":[8,115],"possible":[9],"to":[10,48,58,87,106],"create":[11],"a":[12,19,27,64,70,93],"detector":[13],"that":[14,80,97],"can":[15],"operate":[16],"directly":[17],"on":[18,24,53],"RGB":[20],"color":[21,108],"image":[22],"and":[23,37,68],"detect":[26],"higher":[28,33],"number":[29,34],"features.":[31],"The":[32],"points":[36],"simplification":[39],"metric":[42],"put":[43],"us":[44],"in":[45],"position":[47],"impose":[49],"an":[50],"additional":[51,76],"condition":[52,71,77,91],"keypoints.":[55],"In":[56],"order":[57],"do":[59],"so":[60,96],"we":[61],"picked":[62],"up":[63],"problem":[65],"defined":[69],"for":[72],"similar":[73],"points.":[74],"This":[75],"enables":[78,92],"results":[79],"are":[81],"better":[82],"than":[83,111],"with":[85,98],"regard":[86],"stability.":[88],"Furthermore":[89],"this":[90],"fast":[94],"implementation,":[95],"triple":[100],"amount":[101],"input":[103],"data":[104],"due":[105],"channels":[109],"less":[110],"threefold":[112],"time":[114],"required.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
