{"id":"https://openalex.org/W4394604187","doi":"https://doi.org/10.3390/s24082400","title":"LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction","display_name":"LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394604187","doi":"https://doi.org/10.3390/s24082400","pmid":"https://pubmed.ncbi.nlm.nih.gov/38676016"},"language":"en","primary_location":{"id":"doi:10.3390/s24082400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082400","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2400/pdf?version=1712668260","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/8/2400/pdf?version=1712668260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103063160","display_name":"Weiming Luo","orcid":"https://orcid.org/0009-0003-3047-2295"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Luo","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;"],"raw_orcid":"https://orcid.org/0009-0003-3047-2295","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103979188","display_name":"Zongqing Lu","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqing Lu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing 100084, China;","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009239895"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.7704,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85448807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"2400","last_page":"2400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.775130569934845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7435911893844604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6327527761459351},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5436829924583435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5308906435966492},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5030278563499451},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4987778663635254},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4977708160877228},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4934631884098053},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49230873584747314},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4423118531703949},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4205784499645233},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41634538769721985},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41523459553718567},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12223723530769348},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09068089723587036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775130569934845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7435911893844604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6327527761459351},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5436829924583435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5308906435966492},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5030278563499451},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4987778663635254},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4977708160877228},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4934631884098053},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49230873584747314},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4423118531703949},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4205784499645233},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41634538769721985},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41523459553718567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12223723530769348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09068089723587036},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24082400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082400","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2400/pdf?version=1712668260","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38676016","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38676016","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11054877","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11054877","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11054877/pdf/sensors-24-02400.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a7bc76143f81447eb224d6e25e5749b8","is_oa":false,"landing_page_url":"https://doaj.org/article/a7bc76143f81447eb224d6e25e5749b8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 8, p 2400 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24082400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24082400","pdf_url":"https://www.mdpi.com/1424-8220/24/8/2400/pdf?version=1712668260","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394604187.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W832925222","https://openalex.org/W2023497544","https://openalex.org/W2080693789","https://openalex.org/W2081017956","https://openalex.org/W2108417695","https://openalex.org/W2111240761","https://openalex.org/W2125416623","https://openalex.org/W2129404737","https://openalex.org/W2147176557","https://openalex.org/W2163774200","https://openalex.org/W2168545424","https://openalex.org/W2205172244","https://openalex.org/W2338968644","https://openalex.org/W2464708700","https://openalex.org/W2555618208","https://openalex.org/W2738551266","https://openalex.org/W2745144057","https://openalex.org/W2926429807","https://openalex.org/W2962793285","https://openalex.org/W2963617879","https://openalex.org/W2967693513","https://openalex.org/W2985066174","https://openalex.org/W3011834183","https://openalex.org/W3034530552","https://openalex.org/W3034600477","https://openalex.org/W3090011935","https://openalex.org/W3097305369","https://openalex.org/W3102132650","https://openalex.org/W3103501610","https://openalex.org/W3115288548","https://openalex.org/W3159981575","https://openalex.org/W3170262190","https://openalex.org/W3204354488","https://openalex.org/W4281640624","https://openalex.org/W4285792324","https://openalex.org/W4285803579","https://openalex.org/W4306157941","https://openalex.org/W4361007673","https://openalex.org/W4382466831","https://openalex.org/W4384929827","https://openalex.org/W4386485523","https://openalex.org/W6742835132","https://openalex.org/W6854837749"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W4312958259","https://openalex.org/W2103009189","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"With":[0],"the":[1,62,67,158,172,184],"widespread":[2,173],"adoption":[3],"of":[4,10,30,51,66,137,160,175,186],"modern":[5],"RGB":[6,11],"cameras,":[7],"an":[8],"abundance":[9],"images":[12],"is":[13],"available":[14],"everywhere.":[15],"Therefore,":[16],"multi-view":[17,37],"stereo":[18,41],"(MVS)":[19],"3D":[20,132],"reconstruction":[21,152],"has":[22,142],"been":[23],"extensively":[24],"applied":[25],"across":[26,124],"various":[27],"fields":[28],"because":[29,50],"its":[31,144,148],"cost-effectiveness":[32],"and":[33,40,55,64,70,121,154,163],"accessibility,":[34],"which":[35,60],"involves":[36],"depth":[38,71],"estimation":[39],"matching":[42],"algorithms.":[43],"However,":[44],"MVS":[45,74,95,131],"tasks":[46],"face":[47],"noise":[48,54,102],"challenges":[49],"natural":[52],"multiplicative":[53],"negative":[56],"gain":[57],"in":[58,157],"algorithms,":[59],"reduce":[61],"quality":[63],"accuracy":[65,153],"generated":[68],"models":[69],"maps.":[72],"Traditional":[73],"methods":[75],"often":[76],"struggle":[77],"with":[78],"noise,":[79],"relying":[80],"on":[81],"assumptions":[82],"that":[83],"do":[84],"not":[85],"always":[86],"hold":[87],"true":[88],"under":[89],"real-world":[90],"conditions,":[91],"while":[92],"deep":[93,112],"learning-based":[94],"approaches":[96],"tend":[97],"to":[98,116,150,183],"suffer":[99],"from":[100,178],"high":[101],"sensitivity.":[103],"To":[104],"overcome":[105],"these":[106],"challenges,":[107],"we":[108],"introduce":[109],"LNMVSNet,":[110],"a":[111],"learning":[113],"network":[114],"designed":[115],"enhance":[117],"local":[118],"feature":[119,165],"attention":[120],"fuse":[122],"features":[123],"different":[125],"scales,":[126],"aiming":[127],"for":[128,171],"low-noise,":[129],"high-precision":[130],"reconstruction.":[133],"Through":[134],"extensive":[135],"evaluation":[136],"multiple":[138],"benchmark":[139],"datasets,":[140],"LNMVSNet":[141],"demonstrated":[143],"superior":[145],"performance,":[146],"showcasing":[147],"ability":[149],"improve":[151],"completeness,":[155],"especially":[156],"recovery":[159],"fine":[161],"details":[162],"clear":[164],"delineation.":[166],"This":[167],"advancement":[168],"brings":[169],"hope":[170],"application":[174],"MVS,":[176],"ranging":[177],"precise":[179],"industrial":[180],"part":[181],"inspection":[182],"creation":[185],"immersive":[187],"virtual":[188],"environments.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
