{"id":"https://openalex.org/W2141336110","doi":"https://doi.org/10.1109/icpr.2002.1047467","title":"Robust estimation of trifocal tensor using messy genetic algorithm","display_name":"Robust estimation of trifocal tensor using messy genetic algorithm","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2141336110","doi":"https://doi.org/10.1109/icpr.2002.1047467","mag":"2141336110"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5049741606","display_name":"Mingxing Hu","orcid":"https://orcid.org/0000-0002-3012-5088"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingxing Hu","raw_affiliation_strings":["Institute of Information Science, Northern Jiaotong University, Beijing, China","[Institute of Information Science, Northern Jiaotong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Northern Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Northern Jiaotong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109044004","display_name":"Baozong Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baozong Yuan","raw_affiliation_strings":["Institute of Information Science, Northern Jiaotong University, Beijing, China","[Institute of Information Science, Northern Jiaotong University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Northern Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Northern Jiaotong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049741606"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.3346,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82545721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"347","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9836000204086304,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9836000204086304,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9824000000953674,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9538000226020813,"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/outlier","display_name":"Outlier","score":0.6832760572433472},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6219569444656372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5818108320236206},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.569056510925293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5638400316238403},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5226057171821594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.428426057100296},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4179411232471466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3406708836555481},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32057657837867737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0883951485157013},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.07034569978713989},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.06577691435813904}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6832760572433472},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6219569444656372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5818108320236206},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.569056510925293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5638400316238403},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5226057171821594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.428426057100296},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4179411232471466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3406708836555481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32057657837867737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0883951485157013},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.07034569978713989},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06577691435813904},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1047467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1606791384","https://openalex.org/W1979573625","https://openalex.org/W2137638987","https://openalex.org/W2153119021","https://openalex.org/W2170026011","https://openalex.org/W2170625182"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765","https://openalex.org/W4387454008"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,9,18,59],"problem":[4],"of":[5,8,31],"robust":[6,68],"estimation":[7],"trifocal":[10,42],"tensor":[11,43],"employing":[12],"a":[13,29,38,51],"new":[14],"method":[15,46,65],"based":[16],"on":[17],"messy":[19],"genetic":[20],"algorithm":[21],"which":[22],"uses":[23],"each":[24],"gene":[25],"to":[26,50],"stand":[27],"for":[28,41],"triplet":[30],"correspondences,":[32],"and":[33,54,69],"takes":[34],"every":[35],"chromosome":[36],"as":[37],"minimum":[39],"subset":[40],"estimation.":[44],"The":[45],"will":[47],"eventually":[48],"converge":[49],"near-optimal":[52],"solution":[53],"is":[55,66],"relatively":[56],"unaffected":[57],"by":[58],"outliers.":[60],"Experiments":[61],"show":[62],"that":[63],"our":[64],"more":[67],"precise":[70],"than":[71],"other":[72],"typical":[73],"methods.":[74]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
