{"id":"https://openalex.org/W2001652241","doi":"https://doi.org/10.1109/avss.2013.6636644","title":"An improved evolutionary algorithm for fundamental matrix estimation","display_name":"An improved evolutionary algorithm for fundamental matrix estimation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2001652241","doi":"https://doi.org/10.1109/avss.2013.6636644","mag":"2001652241"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2013.6636644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2013.6636644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance","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/A5100421736","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-1720-2760"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004337702","display_name":"Senem Velipasalar","orcid":"https://orcid.org/0000-0002-1430-1555"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senem Velipasalar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076753154","display_name":"M. Cenk Gursoy","orcid":"https://orcid.org/0000-0002-7352-1013"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Cenk Gursoy","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"[Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA]","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100421736"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":1.4428,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85205548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"293","issue":null,"first_page":"226","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10299","display_name":"Photonic and Optical Devices","score":0.9473999738693237,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/eight-point-algorithm","display_name":"Eight-point algorithm","score":0.734340250492096},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.6858381032943726},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6564458012580872},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5961353778839111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.589601457118988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5862899422645569},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5782235264778137},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5711532831192017},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5246156454086304},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4685797393321991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3161758482456207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.260725736618042},{"id":"https://openalex.org/keywords/state-transition-matrix","display_name":"State-transition matrix","score":0.194297194480896},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.18043997883796692},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07875078916549683}],"concepts":[{"id":"https://openalex.org/C56275529","wikidata":"https://www.wikidata.org/wiki/Q5348937","display_name":"Eight-point algorithm","level":5,"score":0.734340250492096},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.6858381032943726},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6564458012580872},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5961353778839111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.589601457118988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5862899422645569},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5782235264778137},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5711532831192017},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5246156454086304},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4685797393321991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3161758482456207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.260725736618042},{"id":"https://openalex.org/C22629506","wikidata":"https://www.wikidata.org/wiki/Q7602993","display_name":"State-transition matrix","level":4,"score":0.194297194480896},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.18043997883796692},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07875078916549683},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/avss.2013.6636644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2013.6636644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1575387439","https://openalex.org/W1598123022","https://openalex.org/W1999182572","https://openalex.org/W2045181334","https://openalex.org/W2047292446","https://openalex.org/W2085261163","https://openalex.org/W2113914039","https://openalex.org/W2138620157"],"related_works":["https://openalex.org/W2372788615","https://openalex.org/W2364478685","https://openalex.org/W2889347274","https://openalex.org/W2153262021","https://openalex.org/W2095872636","https://openalex.org/W2079812560","https://openalex.org/W1964157747","https://openalex.org/W4246872001","https://openalex.org/W1990472106","https://openalex.org/W2356239735"],"abstract_inverted_index":{"The":[0,58,126],"estimation":[1,14],"of":[2,66],"the":[3,21,35,50,71,75,80,107,114,122],"fundamental":[4,40,72],"matrix":[5,41,73],"is":[6,143],"an":[7],"important":[8],"problem":[9],"in":[10],"epipolar":[11],"geometry.":[12],"Many":[13],"methods":[15],"have":[16],"been":[17],"proposed":[18],"before,":[19],"including":[20],"eight-point":[22,76],"algorithm,":[23,82],"Simple":[24],"Evolutionary":[25],"Agent":[26],"(SEA)":[27],"and":[28,43,56,94,133],"RANSAC.":[29],"In":[30,98],"this":[31],"paper,":[32],"we":[33,105],"investigate":[34],"evolutionary":[36,52,95],"agent-based":[37],"algorithm":[38,47,53,128],"for":[39,91],"estimation,":[42],"present":[44],"a":[45,63,101],"new":[46,84],"that":[48],"improves":[49],"existing":[51,81],"both":[54],"accuracy-":[55],"efficiency-wise.":[57],"model":[59,85],"focuses":[60],"on":[61],"selecting":[62],"best":[64],"combination":[65],"input":[67],"points":[68],"to":[69,100,120],"compute":[70],"via":[74],"algorithm.":[77,115],"To":[78],"improve":[79],"our":[83],"holds":[86],"competition":[87,103],"over":[88],"all":[89],"agents":[90],"population":[92],"control":[93,121],"experience":[96],"accumulation.":[97],"addition":[99],"larger":[102],"scope,":[104],"add":[106],"outlier":[108],"elimination":[109],"mechanism,":[110],"which":[111],"greatly":[112],"accelerates":[113],"New":[116],"parameters":[117],"are":[118],"introduced":[119],"convergence":[123],"more":[124,134],"efficiently.":[125],"improved":[127],"achieves":[129],"lower":[130],"computation":[131],"load":[132],"accurate":[135],"results.":[136],"A":[137],"general":[138],"analysis":[139],"about":[140],"parameter":[141],"selection":[142],"also":[144],"provided.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}