{"id":"https://openalex.org/W2060983450","doi":"https://doi.org/10.1109/iccvw.2011.6130439","title":"FEM models to code non-rigid EKF monocular SLAM","display_name":"FEM models to code non-rigid EKF monocular SLAM","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2060983450","doi":"https://doi.org/10.1109/iccvw.2011.6130439","mag":"2060983450"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5041283253","display_name":"Antonio Agudo","orcid":"https://orcid.org/0000-0001-6845-4998"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Agudo","raw_affiliation_strings":["RoPeRT-I3A, Universidad de Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RoPeRT-I3A, Universidad de Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076443076","display_name":"Bego\u00f1a Calvo","orcid":"https://orcid.org/0000-0001-9713-1813"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Begona Calvo","raw_affiliation_strings":["GEMM-I3A, Universidad de Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GEMM-I3A, Universidad de Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072782079","display_name":"J. M. M. Montiel","orcid":"https://orcid.org/0000-0002-3627-7306"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. M. Montiel","raw_affiliation_strings":["RoPeRT-I3A, Universidad de Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RoPeRT-I3A, Universidad de Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.2454,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98941065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1586","last_page":"1593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9944000244140625,"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/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6301999092102051},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.6272549033164978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6203956604003906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5874573588371277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378965139389038},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5255980491638184},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44152674078941345},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.43972620368003845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35021454095840454},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1857490837574005}],"concepts":[{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6301999092102051},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.6272549033164978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6203956604003906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5874573588371277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378965139389038},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5255980491638184},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44152674078941345},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.43972620368003845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35021454095840454},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1857490837574005},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.348.4613","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.348.4613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdiis.unizar.es/%7Ejosemari/agudo_etal_4DMOD11_ieee.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321672","display_name":"Else Kr\u00f6ner-Fresenius-Stiftung","ror":"https://ror.org/03zcxha54"},{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W120566300","https://openalex.org/W165395710","https://openalex.org/W632484647","https://openalex.org/W1589150504","https://openalex.org/W1998989074","https://openalex.org/W2006368361","https://openalex.org/W2034436394","https://openalex.org/W2101797550","https://openalex.org/W2107402720","https://openalex.org/W2109911863","https://openalex.org/W2110483288","https://openalex.org/W2112975980","https://openalex.org/W2113243634","https://openalex.org/W2118428504","https://openalex.org/W2121299550","https://openalex.org/W2121903807","https://openalex.org/W2124600577","https://openalex.org/W2125954773","https://openalex.org/W2131675109","https://openalex.org/W2137893930","https://openalex.org/W2141836119","https://openalex.org/W2142579497","https://openalex.org/W2151608291","https://openalex.org/W2170640641","https://openalex.org/W2544740107","https://openalex.org/W3083706479","https://openalex.org/W4285719527","https://openalex.org/W6635136358","https://openalex.org/W6685118193"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2020144404","https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2365633291","https://openalex.org/W2353742414","https://openalex.org/W2045765598"],"abstract_inverted_index":{"Bayesian":[0],"EKF":[1,134],"(Extended":[2],"Kalman":[3],"Filter)":[4],"is":[5,73,84,118,129,148,163,172,187,201],"cross-fertilized":[6],"with":[7,25,155,204],"Navier's":[8,89],"equations":[9,90],"solid":[10],"deformation":[11,128,142],"modeling":[12],"to":[13,50],"compute":[14],"3D":[15,106],"non-rigid":[16,161],"structure":[17],"from":[18,150,193],"monocular":[19,61,199],"camera":[20,28],"motion.":[21],"The":[22,42,71,159],"method":[23,49],"operates":[24],"a":[26,76,87,151,164,169,198],"projective":[27],"and":[29,39],"autonomously":[30],"computes":[31],"-for":[32],"every":[33],"sequence":[34,153,200],"frame-":[35],"both":[36],"the":[37,40,52,68,102,105,109,114,124,133,139,175,183,190,195,205],"geometry":[38],"matches.":[41],"combination":[43],"results":[44],"in":[45],"an":[46,178],"sequential":[47],"efficient":[48],"code":[51],"rich":[53],"available":[54],"physical":[55],"priors,":[56],"particularly":[57],"relevant":[58],"for":[59,121],"medical":[60],"endoscope":[62],"sequences":[63],"such":[64],"as":[65,75,86],"those":[66],"observing":[67],"abdominal":[69],"cavity.":[70],"scene":[72,127,141,162],"modeled":[74,85],"planar":[77],"triangular":[78,82],"mesh":[79],"where":[80],"each":[81],"element":[83],"thin-plate.":[88],"are":[91],"solved":[92],"numerically":[93],"by":[94],"means":[95],"of":[96,108,138,177],"FEM":[97,103],"(Finite":[98],"Element":[99],"Method),":[100],"being":[101],"nodes":[104],"points":[107],"estimated":[110],"sparse":[111],"structure.":[112],"Despite":[113],"assumed":[115],"elastic":[116],"model":[117],"only":[119],"valid":[120],"small":[122],"deformations,":[123],"eventually":[125],"large":[126],"accurately":[130],"computed,":[131],"because":[132],"extracts":[135],"partial":[136],"measurements":[137],"actual":[140],"at":[143],"frame":[144],"rate.":[145],"Ground":[146],"truth":[147],"computed":[149],"real":[152],"gathered":[154],"hand-held":[156],"stereo":[157],"camera.":[158],"observed":[160],"silicone":[165,184],"cloth":[166],"fixed":[167],"on":[168,182],"stretcher.":[170],"It":[171,186],"deformed":[173],"under":[174],"action":[176],"unknown":[179],"force":[180],"applied":[181],"surface.":[185],"shown":[188],"how":[189],"estimation":[191],"resulting":[192],"applying":[194],"proposed":[196],"algorithm":[197],"statistically":[202],"consistent":[203],"ground":[206],"truth.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
