{"id":"https://openalex.org/W1917477295","doi":"https://doi.org/10.1109/ecai.2015.7301190","title":"Least squares multi-level approach for centroid detection in active triangulation","display_name":"Least squares multi-level approach for centroid detection in active triangulation","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1917477295","doi":"https://doi.org/10.1109/ecai.2015.7301190","mag":"1917477295"},"language":"en","primary_location":{"id":"doi:10.1109/ecai.2015.7301190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2015.7301190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","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/A5038519736","display_name":"Abubakar M. Ashir","orcid":"https://orcid.org/0000-0003-4009-8463"},"institutions":[{"id":"https://openalex.org/I3129561438","display_name":"Mevlana University","ror":"https://ror.org/00zv6rh96","country_code":"TR","type":"education","lineage":["https://openalex.org/I3129561438"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Abubakar Muhammad Ashir","raw_affiliation_strings":["Department of Mechanical and Mechatronic Engineering, Mevlana University, Konya, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Mechatronic Engineering, Mevlana University, Konya, Turkey","institution_ids":["https://openalex.org/I3129561438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082790036","display_name":"Essam Abo-Serie","orcid":"https://orcid.org/0000-0003-3077-734X"},"institutions":[{"id":"https://openalex.org/I3129561438","display_name":"Mevlana University","ror":"https://ror.org/00zv6rh96","country_code":"TR","type":"education","lineage":["https://openalex.org/I3129561438"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Essam Abo-serie","raw_affiliation_strings":["Different scientific committees and institutes","Mevlana University, Konya, Turkey"],"affiliations":[{"raw_affiliation_string":"Different scientific committees and institutes","institution_ids":[]},{"raw_affiliation_string":"Mevlana University, Konya, Turkey","institution_ids":["https://openalex.org/I3129561438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038519736"],"corresponding_institution_ids":["https://openalex.org/I3129561438"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05346996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"SG","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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":0.9987000226974487,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.8628534078598022},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7306591868400574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022116184234619},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6309587359428406},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.6007943749427795},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.567237913608551},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5660086870193481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513255596160889},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.507806122303009},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.4925125539302826},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.4871489703655243},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4631679952144623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4185156524181366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3721722364425659},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32284992933273315},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18347874283790588},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07661852240562439}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8628534078598022},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7306591868400574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022116184234619},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6309587359428406},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.6007943749427795},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.567237913608551},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5660086870193481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513255596160889},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.507806122303009},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.4925125539302826},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.4871489703655243},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4631679952144623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4185156524181366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3721722364425659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32284992933273315},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18347874283790588},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07661852240562439}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ecai.2015.7301190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2015.7301190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/3fe7a7e9-4277-41b0-87ea-8d24380e711f","is_oa":false,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/least-squares-multilevel-approach-for-centroid-detection-in-active-triangulation(3fe7a7e9-4277-41b0-87ea-8d24380e711f).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ashir , A M & Abo-Serie , E 2015 , Least squares multi-level approach for centroid detection in active triangulation . in 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2015) . IEEE , pp. SG1-SG6 , 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) , Romania , 25/06/15 . https://doi.org/10.1109/ECAI.2015.7301190","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1559927397","https://openalex.org/W1988871379","https://openalex.org/W1998509506","https://openalex.org/W2050827441","https://openalex.org/W2068646337","https://openalex.org/W2073475982","https://openalex.org/W2119033125"],"related_works":["https://openalex.org/W2054427982","https://openalex.org/W2540045258","https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452"],"abstract_inverted_index":{"Active":[0],"triangulation":[1],"has":[2],"been":[3],"successfully":[4],"applied":[5],"in":[6,18,37,53],"numerous":[7],"applications":[8],"such":[9],"as":[10,78],"distance":[11],"measurement,":[12],"profile":[13],"inspections":[14],"and":[15,66,88,112,137,188],"pose":[16],"estimation":[17],"robotics.":[19],"Its":[20],"accuracy":[21],"depends":[22],"on":[23],"many":[24],"factors":[25],"with":[26,51,105,176,191],"locating":[27,38],"laser":[28,40,174],"centroid":[29,41,171],"being":[30],"one":[31],"of":[32,85,139,172],"them.":[33],"The":[34,72,159,179],"error":[35,65,193],"generated":[36],"the":[39,43,48,69,91,98,103,114,132,140,170,173],"within":[42,108,131],"image":[44,99],"is":[45,119,142,150,166],"propagated":[46],"to":[47,82,128,152,168],"system":[49],"output":[50],"consequences":[52],"decreasing":[54],"performance.":[55],"In":[56],"this":[57,164,184],"paper,":[58],"we":[59],"propose":[60],"an":[61,124,129],"algorithm":[62],"for":[63,102,123],"reducing":[64],"hence":[67],"improving":[68],"measurement":[70],"accuracy.":[71,178],"approach":[73],"applies":[74],"gamma":[75],"square":[76],"law":[77],"a":[79,109],"preprocessing":[80],"techniques":[81],"reduce":[83],"effects":[84],"background":[86],"noise":[87],"speckles":[89],"from":[90,97,163],"laser.":[92],"Pixels":[93],"clusters":[94],"are":[95],"extracted":[96,133],"by":[100,121],"searching":[101],"pixels":[104],"intensity":[106],"levels":[107],"pre-defined":[110],"value":[111],"then,":[113],"Region":[115],"Of":[116],"Interest":[117],"(ROI)":[118],"located":[120],"looking":[122],"object":[125],"shape":[126],"similar":[127],"ellipse":[130],"clusters.":[134],"Each":[135],"row":[136],"column":[138],"ROI":[141],"divided":[143],"into":[144,156],"three":[145],"sub-pixels":[146],"classes.":[147],"Least-square":[148],"method":[149,165,185],"used":[151,167],"fit":[153],"linear":[154],"regression":[155],"each":[157],"subclass.":[158],"standard":[160],"deviation":[161],"computation":[162],"locate":[169],"spot":[175],"better":[177],"experimental":[180],"results":[181,190],"obtained":[182],"using":[183],"show":[186],"consistent":[187],"improved":[189],"least":[192],"deviation.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}