{"id":"https://openalex.org/W2130488527","doi":"https://doi.org/10.1109/tcyb.2014.2300180","title":"Loop Closure Detection by Algorithmic Information Theory: Implemented on Range and Camera Image Data","display_name":"Loop Closure Detection by Algorithmic Information Theory: Implemented on Range and Camera Image Data","publication_year":2014,"publication_date":"2014-06-24","ids":{"openalex":"https://openalex.org/W2130488527","doi":"https://doi.org/10.1109/tcyb.2014.2300180","mag":"2130488527","pmid":"https://pubmed.ncbi.nlm.nih.gov/24968363"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2014.2300180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2300180","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5064876125","display_name":"Alireza Norouzzadeh Ravari","orcid":null},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K. N. Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Norouzzadeh Ravari","raw_affiliation_strings":["K. N. Toosi University of Technology, Iran","K. N. Toosi University of Technology, Tehran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology, Iran","institution_ids":["https://openalex.org/I80543232"]},{"raw_affiliation_string":"K. N. Toosi University of Technology, Tehran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070019550","display_name":"Hamid D. Taghirad","orcid":"https://orcid.org/0000-0002-0615-6730"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K. N. Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid D. Taghirad","raw_affiliation_strings":["K. N. Toosi University of Technology, Iran","K. N. Toosi University of Technology, Tehran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology, Iran","institution_ids":["https://openalex.org/I80543232"]},{"raw_affiliation_string":"K. N. Toosi University of Technology, Tehran","institution_ids":["https://openalex.org/I80543232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80543232"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":30.7294,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.99182044,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":"10","first_page":"1938","last_page":"1949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6050324440002441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467343330383301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5399110317230225},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4751726984977722},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4658535122871399},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46246498823165894},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43913280963897705},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42138347029685974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.393082857131958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.368840754032135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3521193265914917}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6050324440002441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467343330383301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5399110317230225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4751726984977722},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4658535122871399},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46246498823165894},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43913280963897705},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42138347029685974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.393082857131958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.368840754032135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3521193265914917},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2014.2300180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2300180","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:24968363","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24968363","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W111450234","https://openalex.org/W1491719799","https://openalex.org/W1560270123","https://openalex.org/W1566135517","https://openalex.org/W1974093076","https://openalex.org/W1982452847","https://openalex.org/W1989484209","https://openalex.org/W1996079613","https://openalex.org/W2019717076","https://openalex.org/W2021302824","https://openalex.org/W2021851106","https://openalex.org/W2021975005","https://openalex.org/W2030298412","https://openalex.org/W2031781893","https://openalex.org/W2035880148","https://openalex.org/W2038694110","https://openalex.org/W2051904401","https://openalex.org/W2058626008","https://openalex.org/W2080994061","https://openalex.org/W2091750321","https://openalex.org/W2096052462","https://openalex.org/W2100963077","https://openalex.org/W2105977269","https://openalex.org/W2108023813","https://openalex.org/W2110405746","https://openalex.org/W2117851648","https://openalex.org/W2120380254","https://openalex.org/W2128859735","https://openalex.org/W2128921765","https://openalex.org/W2134474909","https://openalex.org/W2137277750","https://openalex.org/W2142584058","https://openalex.org/W2144221002","https://openalex.org/W2149023907","https://openalex.org/W2150066425","https://openalex.org/W2151047074","https://openalex.org/W2151103935","https://openalex.org/W2151688111","https://openalex.org/W2151693816","https://openalex.org/W2153030800","https://openalex.org/W2154053567","https://openalex.org/W2157133710","https://openalex.org/W2162536300","https://openalex.org/W2165213665","https://openalex.org/W2478708596","https://openalex.org/W3010805239","https://openalex.org/W3083656528","https://openalex.org/W6604551648"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W2170062176","https://openalex.org/W4206659427","https://openalex.org/W2148135840","https://openalex.org/W106004901","https://openalex.org/W2316648939","https://openalex.org/W2973622563"],"abstract_inverted_index":{"In":[0,39,84],"this":[1,46,85],"paper":[2],"the":[3,48,51,58,75,80,106,110,118,124,171,177],"problem":[4,65],"of":[5,50,77,95,126,137,141,148,170],"loop":[6,59,161],"closing":[7],"from":[8,25,91],"depth":[9],"or":[10,32],"camera":[11,33],"image":[12,34,142],"information":[13,108],"in":[14,45,66,79,123,174],"an":[15],"unknown":[16],"environment":[17],"is":[18,23,55,89,112,133,152],"investigated.":[19],"A":[20,129],"sparse":[21,93],"model":[22,94],"constructed":[24],"a":[26,63,87,92,98,145],"parametric":[27],"dictionary":[28],"for":[29,135,154],"every":[30],"range":[31],"as":[35,62],"mobile":[36],"robot":[37],"observations.":[38,104],"contrast":[40],"to":[41,74,176],"high-dimensional":[42,67],"feature-based":[43],"representations,":[44],"model,":[47],"dimension":[49,100],"sensor":[52,103],"measurements'":[53],"representations":[54,140],"reduced.":[56],"Considering":[57],"closure":[60,162],"detection":[61],"clustering":[64],"space,":[68],"little":[69],"attention":[70],"has":[71,117],"been":[72],"paid":[73],"curse":[76],"dimensionality":[78],"existing":[81],"state-of-the-art":[82,178],"algorithms.":[83],"paper,":[86],"representation":[88,111],"developed":[90,113],"images,":[96],"with":[97],"lower":[99],"than":[101],"original":[102],"Exploiting":[105],"algorithmic":[107],"theory,":[109],"such":[114],"that":[115],"it":[116],"geometrically":[119],"transformation":[120],"invariant":[121],"property":[122,147],"sense":[125],"Kolmogorov":[127],"complexity.":[128],"universal":[130],"normalized":[131,149],"metric":[132],"used":[134],"comparison":[136,175],"complexity":[138],"based":[139],"models.":[143],"Finally,":[144],"distinctive":[146],"compression":[150],"distance":[151],"exploited":[153],"detecting":[155],"similar":[156],"places":[157],"and":[158,168,180],"rejecting":[159],"incorrect":[160],"candidates.":[163],"Experimental":[164],"results":[165],"show":[166],"efficiency":[167],"accuracy":[169],"proposed":[172,183],"method":[173],"algorithms":[179],"some":[181],"recently":[182],"methods.":[184]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
