{"id":"https://openalex.org/W3167810873","doi":"https://doi.org/10.1155/2021/6676704","title":"One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction","display_name":"One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction","publication_year":2021,"publication_date":"2021-06-02","ids":{"openalex":"https://openalex.org/W3167810873","doi":"https://doi.org/10.1155/2021/6676704","mag":"3167810873"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6676704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6676704","pdf_url":"https://downloads.hindawi.com/journals/jcse/2021/6676704.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/jcse/2021/6676704.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010386822","display_name":"Xiaojun Jia","orcid":"https://orcid.org/0000-0002-1420-9943"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Jia","raw_affiliation_strings":["College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059771386","display_name":"Zihao Liu","orcid":"https://orcid.org/0000-0001-6406-6330"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Liu","raw_affiliation_strings":["College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China","institution_ids":["https://openalex.org/I4210092870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010386822"],"corresponding_institution_ids":["https://openalex.org/I4210092870"],"apc_list":{"value":1400,"currency":"USD","value_usd":1400},"apc_paid":{"value":1400,"currency":"USD","value_usd":1400},"fwci":0.3843,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59738562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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":0.9972000122070312,"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/decoding-methods","display_name":"Decoding methods","score":0.7294521927833557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6993743181228638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490285396575928},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6036676168441772},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5975700616836548},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5369201898574829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5109885931015015},{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.48573237657546997},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46609535813331604},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46311652660369873},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41612523794174194},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27555063366889954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2409268021583557}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7294521927833557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6993743181228638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490285396575928},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6036676168441772},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5975700616836548},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5369201898574829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5109885931015015},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.48573237657546997},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46609535813331604},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46311652660369873},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41612523794174194},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27555063366889954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2409268021583557},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6676704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6676704","pdf_url":"https://downloads.hindawi.com/journals/jcse/2021/6676704.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:143a8ab17e1d4c449be4996e465b14ee","is_oa":true,"landing_page_url":"https://doaj.org/article/143a8ab17e1d4c449be4996e465b14ee","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Control Science and Engineering, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6676704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6676704","pdf_url":"https://downloads.hindawi.com/journals/jcse/2021/6676704.pdf","source":{"id":"https://openalex.org/S11704996","display_name":"Journal of Control Science and Engineering","issn_l":"1687-5249","issn":["1687-5249","1687-5257"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Control Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330668","display_name":"Science and Technology Bureau of Jiaxing City","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167810873.pdf","grobid_xml":"https://content.openalex.org/works/W3167810873.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1905829557","https://openalex.org/W1971797833","https://openalex.org/W1980081806","https://openalex.org/W2035892720","https://openalex.org/W2037621803","https://openalex.org/W2039367092","https://openalex.org/W2101703693","https://openalex.org/W2112489265","https://openalex.org/W2112796928","https://openalex.org/W2132137484","https://openalex.org/W2167511939","https://openalex.org/W2167667767","https://openalex.org/W2170053603","https://openalex.org/W2171375728","https://openalex.org/W2172233005","https://openalex.org/W2257660580","https://openalex.org/W2300779272","https://openalex.org/W2397996578","https://openalex.org/W2512520441","https://openalex.org/W2569602911","https://openalex.org/W2578906789","https://openalex.org/W2610272310","https://openalex.org/W2724533729","https://openalex.org/W2791731233","https://openalex.org/W2928474419","https://openalex.org/W2952450991","https://openalex.org/W2966291388"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2964954556","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Pattern":[0],"encoding":[1],"and":[2,72,80,98,109,129],"decoding":[3,48,61],"are":[4,102],"two":[5],"challenging":[6],"problems":[7],"in":[8,35],"a":[9,22,54,88,115],"three-dimensional":[10],"(3D)":[11],"reconstruction":[12],"system":[13],"using":[14],"coded":[15],"structured":[16,84],"light":[17,85],"(CSL).":[18],"In":[19],"this":[20],"paper,":[21],"one-shot":[23,55],"pattern":[24,47,56,67,76,86,107,123],"is":[25,57,118],"designed":[26],"as":[27],"an":[28],"M-array":[29],"with":[30,125],"eight":[31],"embedded":[32],"geometric":[33],"shapes,":[34],"which":[36,120],"each":[37],"2":[38,40],"\u00d7":[39],"subwindow":[41],"appears":[42],"only":[43],"once.":[44],"A":[45,92],"robust":[46,66],"method":[49],"for":[50],"reconstructing":[51],"objects":[52],"from":[53,87],"then":[58],"proposed.":[59],"The":[60],"approach":[62,137],"relies":[63],"on":[64],"the":[65,82,135],"element":[68],"tracking":[69],"algorithm":[70],"(PETA)":[71],"generic":[73],"features":[74,101],"of":[75],"elements":[77,108,124],"to":[78,104,141],"segment":[79],"cluster":[81],"projected":[83],"single":[89],"captured":[90],"image.":[91],"deep":[93],"convolution":[94],"neural":[95],"network":[96],"(DCNN)":[97],"chain":[99],"sequence":[100],"used":[103,140],"accurately":[105],"classify":[106],"key":[110],"points":[111],"(KPs),":[112],"respectively.":[113],"Meanwhile,":[114],"training":[116],"dataset":[117],"established,":[119],"contains":[121],"many":[122],"various":[126],"blur":[127],"levels":[128],"distortions.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"can":[138],"be":[139],"reconstruct":[142],"3D":[143],"objects.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}