{"id":"https://openalex.org/W2026726159","doi":"https://doi.org/10.1109/cvpr.2010.5540086","title":"Upsampling range data in dynamic environments","display_name":"Upsampling range data in dynamic environments","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2026726159","doi":"https://doi.org/10.1109/cvpr.2010.5540086","mag":"2026726159"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5067886187","display_name":"Jennifer Dolson","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jennifer Dolson","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA","Department of Computer science, Stanford University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Computer science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109632355","display_name":"Jongmin Baek","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jongmin Baek","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA","Department of Computer science, Stanford University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Computer science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084071835","display_name":"Christian Plagemann","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Plagemann","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA","Department of Computer science, Stanford University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Computer science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066710774","display_name":"Sebastian Thrun","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sebastian Thrun","raw_affiliation_strings":["Department of Computer Science, University of Stanford, USA","Department of Computer science, Stanford University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Computer science, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067886187"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":13.8997,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.99173604,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/upsampling","display_name":"Upsampling","score":0.8654577732086182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8019372224807739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7825690507888794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7208784222602844},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6448870897293091},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5186313986778259},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4717077910900116},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.44410115480422974},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4429383873939514},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.41427668929100037},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41137778759002686},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34444236755371094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2443941831588745}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8654577732086182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019372224807739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7825690507888794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7208784222602844},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6448870897293091},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5186313986778259},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4717077910900116},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.44410115480422974},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4429383873939514},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.41427668929100037},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41137778759002686},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34444236755371094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2443941831588745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/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/cvpr.2010.5540086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.163.1940","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.1940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.stanford.edu/papers/upsampling_cvpr10/paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333566","display_name":"National Defense Science and Engineering Graduate","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1491073809","https://openalex.org/W1964772475","https://openalex.org/W2017399967","https://openalex.org/W2030716039","https://openalex.org/W2041263154","https://openalex.org/W2065533005","https://openalex.org/W2104599718","https://openalex.org/W2104600947","https://openalex.org/W2109945199","https://openalex.org/W2126043703","https://openalex.org/W2130371553","https://openalex.org/W2133255058","https://openalex.org/W2135887870","https://openalex.org/W2137203830","https://openalex.org/W2144531167","https://openalex.org/W2157849108","https://openalex.org/W2160451035","https://openalex.org/W4213176410","https://openalex.org/W4239395373","https://openalex.org/W4255671489","https://openalex.org/W6629222711","https://openalex.org/W6676600194","https://openalex.org/W6681426593"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2152030049","https://openalex.org/W3081760643","https://openalex.org/W2010724756","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2466475649","https://openalex.org/W2371190228","https://openalex.org/W1967888462"],"abstract_inverted_index":{"We":[0,98],"present":[1],"a":[2,25,34,43,81],"flexible":[3],"method":[4,79],"for":[5,93],"fusing":[6],"information":[7],"from":[8,42],"optical":[9],"and":[10,61,107,109],"range":[11,38],"sensors":[12],"based":[13],"on":[14,104],"an":[15,113],"accelerated":[16],"high-dimensional":[17],"filtering":[18],"approach.":[19],"Our":[20,78],"system":[21],"takes":[22],"as":[23,31,33,40,121],"input":[24],"sequence":[26],"of":[27,36,86],"monocular":[28],"camera":[29],"images":[30],"well":[32],"stream":[35],"sparse":[37],"measurements":[39],"obtained":[41],"laser":[44],"or":[45,70],"other":[46],"sensor":[47],"system.":[48],"In":[49],"contrast":[50],"with":[51],"existing":[52],"approaches,":[53],"we":[54],"do":[55],"not":[56],"assume":[57],"that":[58,71],"the":[59,66,72,87],"depth":[60,84,96],"color":[62],"data":[63,68],"streams":[64],"have":[65],"same":[67],"rates":[69],"observed":[73],"scene":[74],"is":[75],"fully":[76],"static.":[77],"produces":[80],"dense,":[82],"high-resolution":[83],"map":[85],"scene,":[88],"automatically":[89],"generating":[90],"confidence":[91],"values":[92],"every":[94],"interpolated":[95],"point.":[97],"describe":[99],"how":[100,110],"to":[101,111],"integrate":[102],"priors":[103],"object":[105],"motion":[106],"appearance":[108],"achieve":[112],"efficient":[114],"implementation":[115],"using":[116],"parallel":[117],"processing":[118],"hardware":[119],"such":[120],"GPUs.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
