{"id":"https://openalex.org/W2964865698","doi":"https://doi.org/10.3390/s19163460","title":"A New Filtering System for Using a Consumer Depth Camera at Close Range","display_name":"A New Filtering System for Using a Consumer Depth Camera at Close Range","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W2964865698","doi":"https://doi.org/10.3390/s19163460","mag":"2964865698","pmid":"https://pubmed.ncbi.nlm.nih.gov/31398825"},"language":"en","primary_location":{"id":"doi:10.3390/s19163460","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163460","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3460/pdf?version=1565249309","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/1424-8220/19/16/3460/pdf?version=1565249309","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102707663","display_name":"Yuanxing Dai","orcid":"https://orcid.org/0000-0002-0659-2081"},"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":true,"raw_author_name":"Yuanxing Dai","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070873671","display_name":"Yanming Fu","orcid":"https://orcid.org/0000-0002-4874-5306"},"institutions":[{"id":"https://openalex.org/I4210158810","display_name":"Shenyang Sport University","ror":"https://ror.org/05kz0b404","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158810"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Fu","raw_affiliation_strings":["Laboratory Management Center, Shenyang Sport University, Shenyang 110102, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory Management Center, Shenyang Sport University, Shenyang 110102, China","institution_ids":["https://openalex.org/I4210158810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077676993","display_name":"Baichun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baichun Li","raw_affiliation_strings":["College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300000, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601224","display_name":"Xuewei Zhang","orcid":"https://orcid.org/0000-0003-4512-1335"},"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":"Xuewei Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083598415","display_name":"Tianbiao Yu","orcid":"https://orcid.org/0000-0002-6161-8838"},"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":"Tianbiao Yu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069023674","display_name":"Wanshan Wang","orcid":"https://orcid.org/0009-0007-1569-1421"},"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":"Wanshan Wang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102707663"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2978,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59560425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"16","first_page":"3460","last_page":"3460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10638","display_name":"Optical measurement and interference techniques","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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.6839829087257385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.683522641658783},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6289724111557007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199396848678589},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6104223728179932},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.5871261358261108},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5463486313819885},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49692800641059875},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4676121473312378},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42321497201919556},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.41845089197158813},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.3190213441848755},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2499476969242096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14356133341789246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839829087257385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.683522641658783},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6289724111557007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199396848678589},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6104223728179932},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.5871261358261108},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5463486313819885},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49692800641059875},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4676121473312378},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42321497201919556},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.41845089197158813},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.3190213441848755},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2499476969242096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14356133341789246},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19163460","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163460","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3460/pdf?version=1565249309","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:31398825","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31398825","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:doaj.org/article:15e89f984edb4b2bb21e9ff12212009c","is_oa":true,"landing_page_url":"https://doaj.org/article/15e89f984edb4b2bb21e9ff12212009c","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 16, p 3460 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5779818","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6720169","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/16/3460/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19163460","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19163460","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19163460","pdf_url":"https://www.mdpi.com/1424-8220/19/16/3460/pdf?version=1565249309","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964865698.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W12834415","https://openalex.org/W353406226","https://openalex.org/W838106597","https://openalex.org/W1458485205","https://openalex.org/W1928739709","https://openalex.org/W1977644524","https://openalex.org/W1990947293","https://openalex.org/W1991090956","https://openalex.org/W2003802996","https://openalex.org/W2006907052","https://openalex.org/W2021956896","https://openalex.org/W2023986425","https://openalex.org/W2070692575","https://openalex.org/W2072736233","https://openalex.org/W2082710778","https://openalex.org/W2097073572","https://openalex.org/W2099770336","https://openalex.org/W2102591086","https://openalex.org/W2106849102","https://openalex.org/W2145367339","https://openalex.org/W2147176557","https://openalex.org/W2160451035","https://openalex.org/W2165084220","https://openalex.org/W2181904953","https://openalex.org/W2305269547","https://openalex.org/W2478788611","https://openalex.org/W2581673920","https://openalex.org/W2605462541","https://openalex.org/W2765343806","https://openalex.org/W2792611499","https://openalex.org/W3137059050","https://openalex.org/W4236771684","https://openalex.org/W6623490593","https://openalex.org/W6674723063"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W2028994033","https://openalex.org/W1939253538","https://openalex.org/W1993867686","https://openalex.org/W2162796060","https://openalex.org/W2063779402","https://openalex.org/W2065738242","https://openalex.org/W2808832379"],"abstract_inverted_index":{"Using":[0],"consumer":[1,81],"depth":[2,82,108],"cameras":[3,83],"at":[4,29,84],"close":[5,85],"range":[6],"yields":[7],"a":[8,39,75,147,172],"higher":[9],"surface":[10,37],"resolution":[11],"of":[12,23,34,90,101,120,150],"the":[13,32,35,65,105,113,121,127,139,155],"object,":[14],"but":[15],"this":[16,61],"makes":[17],"more":[18],"serious":[19],"noises.":[20],"This":[21],"form":[22],"noise":[24,66,102,122],"tends":[25],"to":[26,59,97],"be":[27,169],"located":[28],"or":[30],"on":[31,53,69,132],"edge":[33],"realistic":[36],"over":[38],"large":[40,148],"area,":[41],"which":[42,167],"is":[43],"an":[44,111],"obstacle":[45],"for":[46,79,174],"real-time":[47,165,175,178],"applications":[48],"that":[49,94,154],"do":[50],"not":[51,130],"rely":[52],"point":[54],"cloud":[55],"post-processing.":[56],"In":[57],"order":[58],"fill":[60],"gap,":[62],"by":[63,138],"analyzing":[64],"region":[67],"based":[68,131],"position":[70],"and":[71,135,145,161,181],"shape,":[72],"we":[73],"proposed":[74,114],"composite":[76],"filtering":[77,115],"system":[78,88,116,128,156],"using":[80,142],"range.":[86],"The":[87],"consists":[89],"three":[91],"main":[92],"modules":[93],"are":[95,129,136],"used":[96,170],"eliminate":[98,118],"different":[99],"types":[100],"areas.":[103,123],"Taking":[104],"human":[106],"hand":[107],"image":[109],"as":[110,171],"example,":[112],"can":[117,157,168],"most":[119],"All":[124],"algorithms":[125],"in":[126],"window":[133],"smoothing":[134],"accelerated":[137],"GPU.":[140],"By":[141],"Kinect":[143],"v2":[144],"SR300,":[146],"number":[149],"contrast":[151],"experiments":[152],"show":[153],"get":[158],"good":[159],"results":[160],"has":[162],"extremely":[163],"high":[164],"performance,":[166],"pre-step":[173],"human-computer":[176],"interaction,":[177],"3D":[179],"reconstruction,":[180],"further":[182],"filtering.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}