{"id":"https://openalex.org/W2043297110","doi":"https://doi.org/10.1109/coginfocom.2013.6719205","title":"Core line detector of a multi purpose geometry scanner","display_name":"Core line detector of a multi purpose geometry scanner","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2043297110","doi":"https://doi.org/10.1109/coginfocom.2013.6719205","mag":"2043297110"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom.2013.6719205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2013.6719205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5076165547","display_name":"Tibor Kov\u00e1cs","orcid":"https://orcid.org/0000-0002-4679-2766"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Tibor Kovacs","raw_affiliation_strings":["Dept. of Automation and Applied Informatics, Budapest University of Tech. and Economics, Budapest, Hungary","Dept. of Autom. & Appl. Inf., Budapest Univ. of Tech. & Econ., Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Dept. of Automation and Applied Informatics, Budapest University of Tech. and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Dept. of Autom. & Appl. Inf., Budapest Univ. of Tech. & Econ., Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080187128","display_name":"Gergely Mezei","orcid":"https://orcid.org/0000-0001-9464-7128"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gergely Mezei","raw_affiliation_strings":["Dept. of Automation and Applied Informatics, Budapest University of Tech. and Economics, Budapest, Hungary","Dept. of Autom. & Appl. Inf., Budapest Univ. of Tech. & Econ., Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Dept. of Automation and Applied Informatics, Budapest University of Tech. and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Dept. of Autom. & Appl. Inf., Budapest Univ. of Tech. & Econ., Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076165547"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16225166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"779","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9952999949455261,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9864000082015991,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9735000133514404,"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/scanner","display_name":"Scanner","score":0.7926272749900818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718757688999176},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.6357913017272949},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5697315335273743},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.5314765572547913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48834702372550964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4792490005493164},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47552064061164856},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46082887053489685},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44838452339172363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3675227463245392}],"concepts":[{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.7926272749900818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718757688999176},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.6357913017272949},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5697315335273743},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5314765572547913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48834702372550964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4792490005493164},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47552064061164856},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46082887053489685},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44838452339172363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3675227463245392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom.2013.6719205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2013.6719205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W96348664","https://openalex.org/W108051866","https://openalex.org/W1496489353","https://openalex.org/W1836586703","https://openalex.org/W1867481314","https://openalex.org/W2167048077","https://openalex.org/W4252692354"],"related_works":["https://openalex.org/W897367340","https://openalex.org/W2946859545","https://openalex.org/W4252521546","https://openalex.org/W2183753145","https://openalex.org/W1486212407","https://openalex.org/W2056469872","https://openalex.org/W2055985996","https://openalex.org/W1976712134","https://openalex.org/W2374999813","https://openalex.org/W2374342360"],"abstract_inverted_index":{"In":[0],"cognitive":[1],"informatics,":[2],"attention":[3],"is":[4,31,70,100,112,132,155,174],"drawn":[5,175],"to":[6,35,102,113,134],"create,":[7],"model,":[8],"analyze":[9],"and":[10,53,110,129,151,171,179],"interact":[11],"with":[12],"three-dimensional":[13],"representation":[14],"of":[15,49,59,87,106,124,139,147,164],"the":[16,19,60,95,104,107,117,122,136,148,158,162,165],"objects":[17],"from":[18],"environment.":[20],"Having":[21],"a":[22,46,50,54,62,77,97,127,152,172],"precise":[23],"3D":[24],"scanner":[25,51,68,149],"solution":[26,47,85],"for":[27],"an":[28,32,145],"affordable":[29],"price":[30],"important":[33],"step":[34],"achieve":[36],"this":[37,125],"goal.":[38],"Our":[39],"research":[40],"group":[41],"focuses":[42],"on":[43,75,83,157],"creating":[44],"such":[45],"consisting":[48],"device":[52],"software":[55,84],"component.":[56],"As":[57,121],"part":[58,123],"research,":[61,126],"cost":[63],"effective":[64],"active":[65],"triangulation":[66,118],"laser":[67],"hardware":[69,90],"built.":[71],"Currently":[72],"we":[73],"focus":[74],"developing":[76],"high-precision":[78],"line":[79,140],"tracking":[80],"method":[81],"based":[82],"instead":[86],"using":[88],"expensive":[89],"components.":[91],"More":[92],"precisely,":[93],"at":[94],"moment,":[96],"noise":[98,105],"model":[99],"set":[101],"describe":[103],"imaging":[108],"system,":[109],"it":[111],"be":[114],"integrated":[115],"into":[116],"core":[119],"engine.":[120],"new":[128,159],"accurate":[130],"algorithm":[131],"defined":[133],"find":[135],"initial":[137],"point":[138],"tracking.":[141],"The":[142],"paper":[143],"presents":[144],"overview":[146],"environment":[150],"detailed":[153],"discussion":[154],"given":[156],"algorithm.":[160],"Besides":[161],"details":[163],"algorithm,":[166],"measurements":[167],"are":[168],"also":[169],"presented":[170],"comparison":[173],"between":[176],"our":[177],"approach":[178],"existing":[180],"algorithms.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}