{"id":"https://openalex.org/W2086667681","doi":"https://doi.org/10.1109/3dtv.2014.6874758","title":"Real-time depth fusion using a low-cost depth sensor array","display_name":"Real-time depth fusion using a low-cost depth sensor array","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2086667681","doi":"https://doi.org/10.1109/3dtv.2014.6874758","mag":"2086667681"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2014.6874758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2014.6874758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","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/A5000587380","display_name":"Michael Schmeing","orcid":null},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Schmeing","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, Germany","Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090365596","display_name":"Elmar Krauskopf","orcid":null},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elmar Krauskopf","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, Germany","Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022183918","display_name":"Xiaoyi Jiang","orcid":"https://orcid.org/0000-0001-7678-9528"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaoyi Jiang","raw_affiliation_strings":["Department of Computer Science, University of M\u00fcnster, Germany","Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Munster, Munster, Germany#TAB#","institution_ids":["https://openalex.org/I22465464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000587380"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":0.4878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70503194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7584","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9966999888420105,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/depth-map","display_name":"Depth map","score":0.7995216250419617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108389496803284},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.5826107263565063},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5638883709907532},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5589945316314697},{"id":"https://openalex.org/keywords/opengl","display_name":"OpenGL","score":0.5081360340118408},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4925752282142639},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4837234318256378},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.48201432824134827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46319669485092163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4510091245174408},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.4267648160457611},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18235042691230774},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.149053692817688},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07416990399360657}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.7995216250419617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108389496803284},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.5826107263565063},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5638883709907532},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5589945316314697},{"id":"https://openalex.org/C2778305236","wikidata":"https://www.wikidata.org/wiki/Q178570","display_name":"OpenGL","level":3,"score":0.5081360340118408},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4925752282142639},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4837234318256378},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.48201432824134827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46319669485092163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4510091245174408},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.4267648160457611},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18235042691230774},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.149053692817688},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07416990399360657},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dtv.2014.6874758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2014.6874758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","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":11,"referenced_works":["https://openalex.org/W176069360","https://openalex.org/W2060280062","https://openalex.org/W2096521559","https://openalex.org/W2151047074","https://openalex.org/W2171056981","https://openalex.org/W2199050586","https://openalex.org/W2263317022","https://openalex.org/W4237041515","https://openalex.org/W4249479904","https://openalex.org/W6607222136","https://openalex.org/W6692630056"],"related_works":["https://openalex.org/W2915493008","https://openalex.org/W1986056272","https://openalex.org/W2089613850","https://openalex.org/W3009665706","https://openalex.org/W2605482345","https://openalex.org/W2741636507","https://openalex.org/W2044147530","https://openalex.org/W4307472573","https://openalex.org/W2110839324","https://openalex.org/W2771419958"],"abstract_inverted_index":{"We":[0,14,75],"present":[1,76],"a":[2,16,25,60,64],"method":[3,39],"for":[4,63],"real-time":[5,70],"depth":[6,11,21,27,44,71],"enhancement":[7],"based":[8],"on":[9],"multiple":[10],"map":[12,28,45],"fusion.":[13],"use":[15],"multi-sensor":[17],"setup":[18],"of":[19,67,85],"low-cost":[20],"sensors":[22,87],"to":[23,88],"obtain":[24],"combined":[26],"that":[29],"can":[30],"be":[31],"arbitrary":[32],"positioned":[33],"between":[34],"the":[35,43,83],"input":[36],"sensors.":[37],"Our":[38],"fills":[40],"holes":[41],"in":[42],"and":[46,56,78,81],"reduces":[47],"sensor":[48],"noise.":[49],"It":[50],"uses":[51],"GPU":[52],"acceleration":[53],"via":[54],"OpenGL":[55],"is":[57],"applicable":[58],"as":[59],"preprocessing":[61],"step":[62],"wide":[65],"variety":[66],"applications":[68],"where":[69],"maps":[72],"are":[73],"necessary.":[74],"subjective":[77],"objective":[79],"results":[80],"investigate":[82],"influence":[84],"vibrating":[86],"our":[89],"method.":[90]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}