{"id":"https://openalex.org/W4413553548","doi":"https://doi.org/10.1109/tip.2025.3599934","title":"HDRSL Net for Accurate High Dynamic Range Imaging-Based Structured Light 3D Reconstruction","display_name":"HDRSL Net for Accurate High Dynamic Range Imaging-Based Structured Light 3D Reconstruction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413553548","doi":"https://doi.org/10.1109/tip.2025.3599934","pmid":"https://pubmed.ncbi.nlm.nih.gov/40853792"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3599934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3599934","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5115695341","display_name":"Hao Wang","orcid":"https://orcid.org/0009-0008-4494-6793"},"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/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0008-4494-6793","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516023","display_name":"Chaobo Zhang","orcid":"https://orcid.org/0000-0003-0340-3772"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobo Zhang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0340-3772","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091832443","display_name":"Xiang Qian","orcid":"https://orcid.org/0000-0003-2487-8785"},"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/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Qian","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2487-8785","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000656002","display_name":"Xiaohao Wang","orcid":"https://orcid.org/0009-0003-4389-7057"},"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/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohao Wang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-4389-7057","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711522","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0003-0312-436X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China","Department of School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0312-436X","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Department of School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8070-802X","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030000317","display_name":"Xiaojun Liang","orcid":"https://orcid.org/0000-0003-1712-7983"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Liang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1712-7983","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626462","display_name":"Xinghui Li","orcid":"https://orcid.org/0000-0002-8471-8196"},"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/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Li","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8471-8196","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Department of Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.0434,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98435913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"5486","last_page":"5499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9842000007629395,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.7456201910972595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6285966634750366},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5999764204025269},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5702074766159058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5384827256202698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351017713546753},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4930252730846405},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.4530293047428131},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4216534495353699},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34071052074432373},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2092922329902649},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10551142692565918}],"concepts":[{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.7456201910972595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285966634750366},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5999764204025269},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5702074766159058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5384827256202698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351017713546753},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4930252730846405},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4530293047428131},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4216534495353699},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34071052074432373},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2092922329902649},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10551142692565918},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3599934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3599934","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40853792","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40853792","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2535697142","display_name":null,"funder_award_id":"JCYJ20240813112003005","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G4764478216","display_name":null,"funder_award_id":"JCYJ20240813112003005","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"},{"id":"https://openalex.org/G7601803407","display_name":null,"funder_award_id":"PCL2023A09","funder_id":"https://openalex.org/F4320318558","funder_display_name":"Peng Cheng Laboratory"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1987113505","https://openalex.org/W2001188872","https://openalex.org/W2001588151","https://openalex.org/W2061640108","https://openalex.org/W2064076387","https://openalex.org/W2103802376","https://openalex.org/W2167252695","https://openalex.org/W2167667767","https://openalex.org/W2316778787","https://openalex.org/W2346489622","https://openalex.org/W2416675426","https://openalex.org/W2575321914","https://openalex.org/W2766497195","https://openalex.org/W2791731233","https://openalex.org/W2804654620","https://openalex.org/W2944779716","https://openalex.org/W2960994981","https://openalex.org/W3010584812","https://openalex.org/W3016525206","https://openalex.org/W3020944944","https://openalex.org/W3035082678","https://openalex.org/W3087600739","https://openalex.org/W3110461745","https://openalex.org/W3151819401","https://openalex.org/W3202633069","https://openalex.org/W4200525884","https://openalex.org/W4210571497","https://openalex.org/W4212945890","https://openalex.org/W4223594510","https://openalex.org/W4296196554","https://openalex.org/W4312190324","https://openalex.org/W4313541731","https://openalex.org/W4315929022","https://openalex.org/W4321195916","https://openalex.org/W4381335239","https://openalex.org/W4390187582","https://openalex.org/W4391526990","https://openalex.org/W4394923642","https://openalex.org/W4399800461","https://openalex.org/W4401607329","https://openalex.org/W4403210001"],"related_works":["https://openalex.org/W2152030049","https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2036724498","https://openalex.org/W3123618386","https://openalex.org/W2410869481","https://openalex.org/W2272915279","https://openalex.org/W2197132757","https://openalex.org/W4405363203","https://openalex.org/W1939253538"],"abstract_inverted_index":{"In":[0,152],"fringe":[1,32,76,192],"projection":[2,131],"profilometry":[3],"systems,":[4],"accurately":[5],"reconstructing":[6,196],"3D":[7,44,100,244],"objects":[8,197,257],"with":[9,67,126,198,217,258],"varying":[10],"surface":[11,200],"reflectivity":[12],"requires":[13],"high":[14],"dynamic":[15,22,83],"range":[16,23,84],"(HDR)":[17],"imaging.":[18],"However,":[19],"the":[20,92,107,117,130,136,184,228,248],"limited":[21],"of":[24,113,129,138,159,213,230],"single-exposure":[25],"cameras":[26],"poses":[27],"challenges":[28],"for":[29,195,256],"capturing":[30],"HDR":[31,41,49,59,75,96,105,185,191,199,206,231,240,259],"patterns":[33,193],"efficiently.":[34],"This":[35],"paper":[36],"introduces":[37],"a":[38,54,103,110,225,238],"deep":[39],"learning-based":[40],"structured":[42,232,242],"light":[43,233,243],"reconstruction":[45,245],"pipeline,":[46],"comprising":[47,210],"an":[48,64,205,252],"Fringe":[50,60,186],"Generation":[51,61,187],"Module":[52,62,90],"and":[53,70,80,147,169,179,221],"Phase":[55,88,120],"Calculation":[56,89],"Module.":[57],"The":[58,87],"employs":[63],"end-to-end":[65,254],"network":[66],"attention":[68,180],"guidance":[69],"feature":[71,177],"distillation":[72,178],"to":[73,98,116],"reconstruct":[74],"images":[77],"from":[78,95],"short-":[79],"long-exposure":[81],"low":[82],"(LDR)":[85],"inputs.":[86],"processes":[91],"phase":[93,111],"information":[94],"fringes":[97],"enable":[99],"reconstruction.":[101],"On":[102],"metallic":[104],"dataset,":[106],"method":[108,124,156,236],"achieved":[109,157],"error":[112],"0.105,":[114],"comparable":[115],"4-exposure":[118],"6-step":[119],"Shifting":[121],"Profilometry":[122],"(PSP)":[123],"(0.069),":[125],"only":[127],"8.3%":[128],"time.":[132],"Experimental":[133],"results":[134],"demonstrate":[135],"robustness":[137],"our":[139,155],"approach":[140],"under":[141],"diverse":[142,218],"object":[143],"geometries,":[144],"exposure":[145],"levels,":[146],"challenging":[148],"global":[149],"illumination":[150],"environments.":[151],"quantitative":[153],"measurements,":[154],"accuracies":[158],"sub-50":[160],"$\\mu":[161],"$":[162],"m":[163],"on":[164],"ceramic":[165],"spheres,":[166],"flat":[167],"plates":[168],"metal":[170,208,215],"step":[171],"object.":[172],"Ablation":[173],"experiments":[174],"confirmed":[175],"that":[176],"module":[181],"effectively":[182],"enhance":[183],"Module,":[188],"producing":[189],"high-quality":[190],"critical":[194],"reflectivity.":[201],"Furthermore,":[202],"we":[203],"constructed":[204],"imaging":[207],"dataset":[209],"1,700":[211],"samples":[212],"machined":[214],"parts":[216],"shapes,":[219],"sizes,":[220],"materials,":[222],"making":[223],"it":[224],"benchmark":[226],"in":[227],"field":[229],"measurement.":[234],"Our":[235],"offers":[237],"general":[239],"imaging-based":[241],"approach,":[246],"integrating":[247],"two":[249],"modules":[250],"into":[251],"efficient,":[253],"solution":[255],"reflective":[260],"surfaces.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
