{"id":"https://openalex.org/W4389780987","doi":"https://doi.org/10.1145/3627341.3630385","title":"A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light","display_name":"A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4389780987","doi":"https://doi.org/10.1145/3627341.3630385"},"language":"en","primary_location":{"id":"doi:10.1145/3627341.3630385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","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/A5062615006","display_name":"Z CUI","orcid":"https://orcid.org/0009-0005-8228-3183"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuohui Cui","raw_affiliation_strings":["Northeastern University, China, \rMidea Corporate Research Center, China and \rBlue-Orange Lab, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, China, \rMidea Corporate Research Center, China and \rBlue-Orange Lab, China","institution_ids":["https://openalex.org/I4210093653","https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152013","display_name":"Kai Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Nie","raw_affiliation_strings":["Midea Corporate Research Center, China and \rBlue-Orange Lab, China"],"affiliations":[{"raw_affiliation_string":"Midea Corporate Research Center, China and \rBlue-Orange Lab, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003777802","display_name":"Shouliang Qi","orcid":"https://orcid.org/0000-0003-0977-1939"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouliang Qi","raw_affiliation_strings":["Northeastern University, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028458047","display_name":"Che Hou","orcid":"https://orcid.org/0009-0007-3415-260X"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Che Hou","raw_affiliation_strings":["Midea Corporate Research Center, China and \rBlue-Orange Lab, China"],"affiliations":[{"raw_affiliation_string":"Midea Corporate Research Center, China and \rBlue-Orange Lab, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103144008","display_name":"Wenjie Chen","orcid":"https://orcid.org/0009-0004-0291-9229"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Chen","raw_affiliation_strings":["Midea Corporate Research Center, China and \rBlue-Orange Lab, China"],"affiliations":[{"raw_affiliation_string":"Midea Corporate Research Center, China and \rBlue-Orange Lab, China","institution_ids":["https://openalex.org/I4210093653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062615006"],"corresponding_institution_ids":["https://openalex.org/I4210093653","https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16983994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.857561469078064},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7399265170097351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7228758335113525},{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.6250396370887756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5851736068725586},{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.570513129234314},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.5278347134590149},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47976431250572205},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45795002579689026},{"id":"https://openalex.org/keywords/gray-code","display_name":"Gray code","score":0.4422645568847656},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.4101373553276062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33270347118377686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18671411275863647},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.0785946249961853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.857561469078064},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7399265170097351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7228758335113525},{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.6250396370887756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5851736068725586},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.570513129234314},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.5278347134590149},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47976431250572205},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45795002579689026},{"id":"https://openalex.org/C129861397","wikidata":"https://www.wikidata.org/wiki/Q332772","display_name":"Gray code","level":2,"score":0.4422645568847656},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.4101373553276062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33270347118377686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18671411275863647},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0785946249961853},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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:10.1145/3627341.3630385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627341.3630385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1988695710","https://openalex.org/W2006112934","https://openalex.org/W2061788472","https://openalex.org/W2069281566","https://openalex.org/W2111886617","https://openalex.org/W2119998238","https://openalex.org/W2155479981","https://openalex.org/W2158210163","https://openalex.org/W2171646521","https://openalex.org/W2531527232","https://openalex.org/W3038484145","https://openalex.org/W3100892116","https://openalex.org/W3130399606","https://openalex.org/W4250604565","https://openalex.org/W6604133164","https://openalex.org/W6607802419"],"related_works":["https://openalex.org/W4292387174","https://openalex.org/W1972054565","https://openalex.org/W2918931022","https://openalex.org/W2078426901","https://openalex.org/W2737995312","https://openalex.org/W2071113258","https://openalex.org/W2088235712","https://openalex.org/W2161743526","https://openalex.org/W2037468246","https://openalex.org/W2137378728"],"abstract_inverted_index":{"Structured":[0],"light":[1,11,97],"3D":[2,95],"imaging":[3,98],"based":[4,29],"on":[5,30,122],"Gray":[6],"code":[7],"requires":[8],"accurate":[9],"pixel":[10,22,39,109,142],"and":[12,37,50,100,115,131,140,163],"dark":[13],"judgment":[14],"for":[15,26,80],"high-quality":[16],"reconstruction.":[17],"This":[18],"paper":[19,87],"proposes":[20],"a":[21,62,74,93,108,116],"point":[23],"classification":[24,110],"method":[25,106,136],"fringe":[27,78],"images":[28,79,158],"the":[31,44,52,56,60,70,123,127],"U-Net":[32],"network":[33,45,64,81],"to":[34,91],"achieve":[35],"robust":[36],"efficient":[38],"binary":[40],"classification.":[41],"To":[42,68],"make":[43],"more":[46],"effective":[47],"in":[48,83,148],"learning":[49],"utilizing":[51],"structural":[53],"information":[54],"of":[55,72,77,113,120,144],"fringes":[57],"projected":[58],"by":[59],"projector,":[61],"multi-channel":[63],"input":[65],"is":[66],"designed.":[67],"address":[69],"challenge":[71],"obtaining":[73],"large":[75],"number":[76],"training":[82],"real":[84],"scenes,":[85],"this":[86],"utilizes":[88],"computer":[89],"graphics":[90],"construct":[92],"virtual":[94],"structured":[96],"system":[99],"produce":[101],"usable":[102],"datasets.":[103],"The":[104,134],"proposed":[105,135],"achieved":[107],"error":[111,119],"rate":[112],"0.44%":[114],"mean":[117],"square":[118],"285.019":[121],"test":[124],"data,":[125],"outperforming":[126],"traditional":[128],"method's":[129],"1.10%":[130],"713.578,":[132],"respectively.":[133],"can":[137,153],"accurately":[138],"recognize":[139],"classify":[141],"values":[143],"highly":[145],"reflective":[146],"regions":[147],"an":[149],"image.":[150],"And":[151],"it":[152],"generate":[154],"high":[155],"dynamic":[156,161],"range":[157,162],"with":[159],"wider":[160],"richer":[164],"image":[165],"details.":[166]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}