{"id":"https://openalex.org/W2089526501","doi":"https://doi.org/10.1109/iccvw.2011.6130390","title":"Real-time preprocessing for dense 3-D range imaging on the GPU: Defect interpolation, bilateral temporal averaging and guided filtering","display_name":"Real-time preprocessing for dense 3-D range imaging on the GPU: Defect interpolation, bilateral temporal averaging and guided filtering","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2089526501","doi":"https://doi.org/10.1109/iccvw.2011.6130390","mag":"2089526501"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5054649587","display_name":"Jakob Wasza","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Wasza","raw_affiliation_strings":["Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032995111","display_name":"Sebastian Bauer","orcid":"https://orcid.org/0000-0003-4328-195X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Bauer","raw_affiliation_strings":["Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058662444","display_name":"Joachim Hornegger","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210147349","display_name":"Advanced Optical Technologies (United States)","ror":"https://ror.org/04g5jfs38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147349"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Joachim Hornegger","raw_affiliation_strings":["Pattern Recognition Lab, Department of Computer Science, Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Department of Computer Science, Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I4210147349"]},{"raw_affiliation_string":"Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.4094,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9885532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1221","last_page":"1227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.807295560836792},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6523977518081665},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6074296236038208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5312278866767883},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5297357439994812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5053939819335938},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.49020153284072876},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4882810115814209},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.445334255695343},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3777567744255066},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18564608693122864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1013418436050415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807295560836792},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6523977518081665},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6074296236038208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5312278866767883},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5297357439994812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5053939819335938},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.49020153284072876},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4882810115814209},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.445334255695343},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3777567744255066},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18564608693122864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1013418436050415},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2011.6130390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.639.6980","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.6980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Wasza11-RPF.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323061","display_name":"Bayerisches Staatsministerium f\u00fcr Wirtschaft, Infrastruktur, Verkehr und Technologie","ror":"https://ror.org/00rspzk45"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W270041273","https://openalex.org/W1515939292","https://openalex.org/W1547334019","https://openalex.org/W1855919051","https://openalex.org/W1910823972","https://openalex.org/W1915188322","https://openalex.org/W1983536086","https://openalex.org/W1984844207","https://openalex.org/W2016620160","https://openalex.org/W2046464221","https://openalex.org/W2065533005","https://openalex.org/W2072741105","https://openalex.org/W2099244020","https://openalex.org/W2126043703","https://openalex.org/W2128919717","https://openalex.org/W2143425433","https://openalex.org/W2144531167","https://openalex.org/W2154873649","https://openalex.org/W2160956336","https://openalex.org/W2161061943","https://openalex.org/W2162618331","https://openalex.org/W2163887404","https://openalex.org/W2164598857","https://openalex.org/W2333188682","https://openalex.org/W2396712510","https://openalex.org/W4213176410","https://openalex.org/W4253999777","https://openalex.org/W6609900672","https://openalex.org/W6630872093","https://openalex.org/W6678827375","https://openalex.org/W6681426593","https://openalex.org/W6711780769"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W2397288865","https://openalex.org/W4234772502","https://openalex.org/W2368524271","https://openalex.org/W4247116873","https://openalex.org/W2576709312","https://openalex.org/W2392797073","https://openalex.org/W2380685755","https://openalex.org/W2989490741","https://openalex.org/W2977327189"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,12],"range":[3,22,25,112],"imaging":[4],"(RI)":[5],"have":[6],"enabled":[7],"dense":[8],"3-D":[9,115],"scene":[10],"acquisition":[11],"real-time.":[13],"However,":[14],"due":[15],"to":[16,29,51,114],"physical":[17],"limitations":[18],"and":[19,31,61,99,137],"the":[20,70,88,109,123],"underlying":[21],"sampling":[23],"principles,":[24],"data":[26,37,67,132],"are":[27,80],"subject":[28],"noise":[30],"may":[32],"contain":[33],"invalid":[34,91],"measurements.":[35],"Hence,":[36],"preprocessing":[38,68,152],"is":[39],"a":[40,47,59,134,141],"prerequisite":[41],"for":[42,64,87,96,102,148],"practical":[43],"applications":[44],"but":[45],"poses":[46],"challenge":[48],"with":[49],"respect":[50],"real-time":[52],"constraints.":[53],"In":[54,140],"this":[55,78],"paper,":[56],"we":[57,106,145],"propose":[58],"generic":[60],"modality-independent":[62],"pipeline":[63,126,153],"efficient":[65,81],"RI":[66],"on":[69,122,130,158],"graphics":[71],"processing":[72],"unit":[73],"(GPU).":[74],"The":[75,125],"contributions":[76],"of":[77,84,90],"work":[79],"GPU":[82],"implementations":[83],"normalized":[85],"convolution":[86],"restoration":[89],"measurements,":[92],"bilateral":[93],"temporal":[94],"averaging":[95],"dynamic":[97],"scenes,":[98],"guided":[100],"filtering":[101],"edge-preserving":[103],"denoising.":[104],"Furthermore,":[105],"show":[107,146],"that":[108,147],"transformation":[110],"from":[111,133],"measurements":[113],"world":[116],"coordinates":[117],"can":[118],"be":[119],"computed":[120],"efficiently":[121],"GPU.":[124,162],"has":[127],"been":[128],"evaluated":[129],"real":[131],"Time-of-Flight":[135],"sensor":[136],"Microsoft's":[138],"Kinect.":[139],"run-time":[142],"performance":[143],"study,":[144],"VGA-resolution":[149],"data,":[150],"our":[151],"runs":[154],"at":[155],"~100":[156],"fps":[157],"an":[159],"off-the-shelf":[160],"consumer":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}