{"id":"https://openalex.org/W3120447421","doi":"https://doi.org/10.1117/12.2587060","title":"Precise localization of synchronization patterns for Aztec code matrix extraction","display_name":"Precise localization of synchronization patterns for Aztec code matrix extraction","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3120447421","doi":"https://doi.org/10.1117/12.2587060","mag":"3120447421"},"language":"en","primary_location":{"id":"doi:10.1117/12.2587060","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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/A5050493000","display_name":"Vitali M. Kliatskine","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vitali M. Kliatskine","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" of RAS (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" of RAS (Russian Federation)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085294618","display_name":"Pavel Bezmaternykh","orcid":"https://orcid.org/0000-0003-4740-4160"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. V. Bezmaternykh","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" of RAS (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" of RAS (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050493000"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00835059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9907000064849854,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9660000205039978,"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/barcode","display_name":"Barcode","score":0.8811692595481873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8076785206794739},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.7228869199752808},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6248324513435364},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5917096138000488},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5606659054756165},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5557860732078552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421903729438782},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5069446563720703},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.49021512269973755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4681086242198944},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4246990382671356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3787662386894226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32475656270980835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10611432790756226}],"concepts":[{"id":"https://openalex.org/C2776841711","wikidata":"https://www.wikidata.org/wiki/Q856","display_name":"Barcode","level":2,"score":0.8811692595481873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076785206794739},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.7228869199752808},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6248324513435364},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5917096138000488},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5606659054756165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5557860732078552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421903729438782},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5069446563720703},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.49021512269973755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4681086242198944},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4246990382671356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3787662386894226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32475656270980835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10611432790756226},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2587060","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8999999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2256570403","https://openalex.org/W2074156223","https://openalex.org/W4391927655","https://openalex.org/W2103246366","https://openalex.org/W2901653204","https://openalex.org/W2102526470","https://openalex.org/W2069750812","https://openalex.org/W1998094973","https://openalex.org/W3124629309","https://openalex.org/W4389086672"],"abstract_inverted_index":{"Two-dimensional":[0],"barcode":[1,26],"reading":[2,16,101],"is":[3,39,69],"still":[4],"a":[5],"challenging":[6],"problem":[7],"in":[8,45,122],"the":[9,25,62,90,97,108],"computer":[10],"vision":[11],"domain.":[12],"To":[13],"simplify":[14],"this":[15],"process":[17],"specially":[18],"designed":[19],"synchronization":[20,59],"patterns":[21,60],"are":[22],"introduced":[23],"into":[24],"structure.":[27],"Their":[28],"precise":[29,55],"localization":[30,56],"allows":[31],"to":[32,81,105],"use":[33],"block-based":[34],"matrix":[35],"extraction":[36],"strategy,":[37],"which":[38,110],"essential":[40],"for":[41,54,61],"processing":[42],"images":[43,116],"captured":[44,117],"an":[46,52],"uncontrolled":[47,123],"environment.":[48],"This":[49],"paper":[50],"describes":[51],"algorithm":[53,68,95,99],"of":[57,92,112],"such":[58],"Aztec":[63],"Code":[64],"symbology.":[65],"The":[66],"proposed":[67,98],"based":[70],"on":[71,107],"uniform":[72],"linear":[73],"motion":[74],"model":[75],"usage":[76],"supported":[77],"by":[78],"Kalman":[79],"filtering":[80],"increase":[82],"its":[83],"estimation":[84],"accuracy.":[85],"Experimental":[86],"results":[87],"showed":[88],"that":[89],"replacement":[91],"basic":[93],"ISO-based":[94],"with":[96,118],"increased":[100],"quality":[102],"from":[103],"39%":[104],"98%":[106],"dataset":[109],"consists":[111],"1628":[113],"real-life":[114],"document":[115],"mobile":[119],"device":[120],"cameras":[121],"conditions.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
