{"id":"https://openalex.org/W1943828259","doi":"https://doi.org/10.5220/0004737004060415","title":"Generalized Preemptive RANSAC - Making Preemptive RANSAC Feasible even in Low Resources Devices","display_name":"Generalized Preemptive RANSAC - Making Preemptive RANSAC Feasible even in Low Resources Devices","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1943828259","doi":"https://doi.org/10.5220/0004737004060415","mag":"1943828259"},"language":"en","primary_location":{"id":"doi:10.5220/0004737004060415","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004737004060415","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 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004737004060415","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055444448","display_name":"Severino Gomes-Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210141621","display_name":"Faculdade de Medicina de Jundia\u00ed","ror":"https://ror.org/03ywskk07","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210141621"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Severino Gomes-Neto","raw_affiliation_strings":["Escola Agr\u00edcola de Jundia\u00ed, UFRN, RN 160 - Km 03, Distrito de Jundia\u00ed, Maca\u00edba/RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Escola Agr\u00edcola de Jundia\u00ed, UFRN, RN 160 - Km 03, Distrito de Jundia\u00ed, Maca\u00edba/RN, Brazil","institution_ids":["https://openalex.org/I4210141621","https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059024357","display_name":"Bruno M. Carvalho","orcid":"https://orcid.org/0000-0002-9122-0257"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno M. Carvalho","raw_affiliation_strings":["Departamento de Inform\u00e1tica e Matem\u00e1tica Aplicada, UFRN, Campus Universit\u00e1rio Lagoa Nova, Natal/RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Matem\u00e1tica Aplicada, UFRN, Campus Universit\u00e1rio Lagoa Nova, Natal/RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055444448"],"corresponding_institution_ids":["https://openalex.org/I35046152","https://openalex.org/I4210141621"],"apc_list":null,"apc_paid":null,"fwci":0.2093,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55956053,"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":"406","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9948999881744385,"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/ransac","display_name":"RANSAC","score":0.9952148199081421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702673196792603},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5587859749794006},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4457642138004303},{"id":"https://openalex.org/keywords/preemption","display_name":"Preemption","score":0.42248719930648804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34977197647094727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34424257278442383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3366849422454834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32362431287765503},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12045475840568542}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9952148199081421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702673196792603},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5587859749794006},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4457642138004303},{"id":"https://openalex.org/C206952183","wikidata":"https://www.wikidata.org/wiki/Q1193100","display_name":"Preemption","level":2,"score":0.42248719930648804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34977197647094727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34424257278442383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3366849422454834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32362431287765503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12045475840568542},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004737004060415","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004737004060415","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 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004737004060415","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004737004060415","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 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W3083084699","https://openalex.org/W3012182724","https://openalex.org/W2091943821","https://openalex.org/W2553945284","https://openalex.org/W3021755553"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"a":[3,42],"generalized":[4,84],"version":[5],"of":[6,29,41,45,91,122],"Preemptive":[7,80,98,117,125,137],"RANSAC":[8,81,99,126],"for":[9,20,60],"visual":[10],"motion":[11],"estimation.":[12],"The":[13,39],"approach":[14],"described":[15],"employs":[16],"the":[17,27,35,54,73,78,89,92,96,102,111,115,120,123,135],"BRUMA":[18],"function":[19],"dealing":[21],"with":[22,119],"varying":[23],"block":[24],"sizes":[25],"and":[26,63,72,82],"percentages":[28],"hypotheses":[30,36,46],"to":[31,52,76,110,130],"be":[32],"removed":[33],"during":[34],"rejection":[37],"phase.":[38],"generation":[40],"flexible":[43],"number":[44],"is":[47],"also":[48],"performed":[49,59],"in":[50,66],"order":[51],"balance":[53],"preemption":[55],"scheme.":[56],"Experiments":[57],"were":[58],"both":[61],"forward":[62],"side-wise":[64],"motions":[65],"synthetic":[67],"environment":[68],"by":[69,95,114],"using":[70],"simulation":[71],"ground-truth":[74],"used":[75,105],"compare":[77],"Standard":[79,97,124],"its":[83],"version.":[85],"Simulations":[86],"confirmed":[87],"that":[88],"quality":[90],"results":[93,112,121],"produced":[94,113],"degrade":[100],"as":[101,108],"hardware":[103],"resources":[104],"are":[106],"decreased,":[107],"opposed":[109],"Generalized":[116,136],"RANSAC,":[118],"having":[127],"errors":[128],"up":[129],"eleven":[131],"times":[132],"larger":[133],"than":[134],"RANSAC.":[138]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}