{"id":"https://openalex.org/W4392903027","doi":"https://doi.org/10.1109/icassp48485.2024.10446426","title":"Deep Learning Based Single-Shot Profilometry by Three-Channel Binary-Defocused Projection","display_name":"Deep Learning Based Single-Shot Profilometry by Three-Channel Binary-Defocused Projection","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903027","doi":"https://doi.org/10.1109/icassp48485.2024.10446426"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101695187","display_name":"Tianbo Liu","orcid":"https://orcid.org/0009-0002-0418-7303"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianbo Liu","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016316237","display_name":"Songping Mai","orcid":"https://orcid.org/0000-0002-0572-9066"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songping Mai","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357616","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-7030-4291"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101695187"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46864802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2555","last_page":"2559"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.8142030239105225},{"id":"https://openalex.org/keywords/structured-light-3d-scanner","display_name":"Structured-light 3D scanner","score":0.7648260593414307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7265962958335876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185091376304626},{"id":"https://openalex.org/keywords/absolute-phase","display_name":"Absolute phase","score":0.6569499969482422},{"id":"https://openalex.org/keywords/profilometer","display_name":"Profilometer","score":0.5899646282196045},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5734943747520447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.566425621509552},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5533040165901184},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5176580548286438},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5163208842277527},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5148035883903503},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.46400752663612366},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4519883096218109},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4461303651332855},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4121324419975281},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.27414068579673767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2099057137966156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14940020442008972},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09510433673858643},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.0839812159538269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0721905529499054}],"concepts":[{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.8142030239105225},{"id":"https://openalex.org/C184577583","wikidata":"https://www.wikidata.org/wiki/Q1485537","display_name":"Structured-light 3D scanner","level":3,"score":0.7648260593414307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7265962958335876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185091376304626},{"id":"https://openalex.org/C2776521118","wikidata":"https://www.wikidata.org/wiki/Q4669823","display_name":"Absolute phase","level":3,"score":0.6569499969482422},{"id":"https://openalex.org/C79261456","wikidata":"https://www.wikidata.org/wiki/Q443756","display_name":"Profilometer","level":3,"score":0.5899646282196045},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5734943747520447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.566425621509552},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5533040165901184},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5176580548286438},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5163208842277527},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5148035883903503},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46400752663612366},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4519883096218109},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4461303651332855},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4121324419975281},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27414068579673767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2099057137966156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14940020442008972},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09510433673858643},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.0839812159538269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0721905529499054},{"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/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1990613440","https://openalex.org/W2011070003","https://openalex.org/W2066642144","https://openalex.org/W2086114601","https://openalex.org/W2088946018","https://openalex.org/W2108159976","https://openalex.org/W2127996129","https://openalex.org/W2140764440","https://openalex.org/W2167536595","https://openalex.org/W2475287302","https://openalex.org/W2510651995","https://openalex.org/W2590022232","https://openalex.org/W2791731233","https://openalex.org/W2804654620","https://openalex.org/W2892786419","https://openalex.org/W2954371636","https://openalex.org/W3001615230","https://openalex.org/W3015788359","https://openalex.org/W3136194189","https://openalex.org/W3206595850","https://openalex.org/W4214513770","https://openalex.org/W4226224676","https://openalex.org/W4240543907","https://openalex.org/W4285410741"],"related_works":["https://openalex.org/W2045080189","https://openalex.org/W2591989483","https://openalex.org/W2385216742","https://openalex.org/W1984933051","https://openalex.org/W4249939034","https://openalex.org/W2743746609","https://openalex.org/W2019148711","https://openalex.org/W2789421388","https://openalex.org/W2055482831","https://openalex.org/W2025397186"],"abstract_inverted_index":{"Fringe":[0],"projection":[1],"profilometry":[2],"(FPP),":[3],"a":[4,12,24,56,72,101,106,128],"widely":[5],"used":[6],"3D":[7,28,123],"reconstruction":[8,29,124],"method,":[9,30],"often":[10],"encounters":[11],"dilemma":[13],"between":[14],"speed":[15,34],"and":[16,35,43,69,86,116],"accuracy":[17],"for":[18],"dynamic":[19,117],"measurement.":[20],"This":[21],"paper":[22],"proposes":[23],"deep-learning":[25],"based":[26],"single-shot":[27],"which":[31,90],"considers":[32],"both":[33,114],"accuracy.":[36],"We":[37],"utilize":[38],"the":[39,47,60,63,80,83,97,132],"individual":[40],"red,":[41],"green,":[42],"blue":[44],"channels":[45],"of":[46,82,96,134],"projector":[48],"to":[49],"successively":[50],"project":[51],"three":[52],"binary":[53],"patterns":[54],"in":[55],"defocused":[57],"manner.":[58],"At":[59],"same":[61],"time,":[62],"camera":[64],"exposures":[65],"during":[66],"this":[67],"process":[68],"finally":[70],"captures":[71],"single":[73,102,107,129],"image.":[74],"During":[75],"image":[76],"processing,":[77],"we":[78],"combine":[79],"task":[81],"wrapped":[84],"phase":[85,88,99],"absolute":[87,98],"prediction,":[89],"enables":[91],"an":[92],"end-to-end":[93],"high-precision":[94],"estimation":[95],"from":[100,126],"fringe":[103],"pattern":[104],"through":[105],"network.":[108],"Experiments":[109],"on":[110],"various":[111],"scenes,":[112],"encompassing":[113],"static":[115],"objects,":[118],"substantiate":[119],"our":[120],"method\u2019s":[121],"high-quality":[122],"capability":[125],"only":[127],"shot,":[130],"surpassing":[131],"performance":[133],"previous":[135],"approaches.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}