{"id":"https://openalex.org/W2054723644","doi":"https://doi.org/10.1109/isocc.2012.6407114","title":"Refinement of depth maps generated by low-cost depth sensors","display_name":"Refinement of depth maps generated by low-cost depth sensors","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2054723644","doi":"https://doi.org/10.1109/isocc.2012.6407114","mag":"2054723644"},"language":"en","primary_location":{"id":"doi:10.1109/isocc.2012.6407114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc.2012.6407114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049143513","display_name":"Krishna Rao Vijayanagar","orcid":"https://orcid.org/0000-0002-1472-4662"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Rao Vijayanagar","raw_affiliation_strings":["Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075621440","display_name":"Maziar Loghman","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maziar Loghman","raw_affiliation_strings":["Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076689613","display_name":"Joohee Kim","orcid":"https://orcid.org/0000-0001-8833-0319"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joohee Kim","raw_affiliation_strings":["Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Elec. and Comp. Eng., Illinois Institute of Technology, Chicago, U. S. A","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":1.5791,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86642616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"358"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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/depth-map","display_name":"Depth map","score":0.9036718606948853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7665773630142212},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7473939657211304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314995527267456},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6977963447570801},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5653617978096008},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.44242122769355774},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.441201776266098},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.425689160823822},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3770137131214142},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.202048659324646}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.9036718606948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7665773630142212},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7473939657211304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314995527267456},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6977963447570801},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5653617978096008},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.44242122769355774},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.441201776266098},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.425689160823822},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3770137131214142},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.202048659324646},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc.2012.6407114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc.2012.6407114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1489295529","https://openalex.org/W1975708396","https://openalex.org/W2039039026","https://openalex.org/W2048355470","https://openalex.org/W2099244020","https://openalex.org/W2104324080","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2122296704","https://openalex.org/W2130268625","https://openalex.org/W2133665775","https://openalex.org/W2150134853","https://openalex.org/W2172170641","https://openalex.org/W2279831719","https://openalex.org/W6660272499","https://openalex.org/W6695305087"],"related_works":["https://openalex.org/W2795471480","https://openalex.org/W2520322935","https://openalex.org/W3005941135","https://openalex.org/W2086087387","https://openalex.org/W2104324080","https://openalex.org/W2027589961","https://openalex.org/W2140069086","https://openalex.org/W2537394792","https://openalex.org/W2155505427","https://openalex.org/W2122353381"],"abstract_inverted_index":{"With":[0],"the":[1,4,8,25,41,46,57,70,91,95,114,119,132,137,145,177,187,190,193,202,207,216,220],"introduction":[2],"of":[3,13,45,68,77,189,192,206],"Microsoft":[5],"Kinect":[6,26,47],"into":[7],"gaming":[9],"industry":[10,21],"and":[11,56,84,88,94,108,142,185,196,218],"release":[12],"Kinect-based":[14],"application":[15],"development":[16],"kits,":[17],"a":[18,75,101,125,150],"whole":[19],"new":[20],"has":[22],"evolved":[23],"around":[24],"with":[27,172],"applications":[28],"for":[29,33,104],"gaming,":[30],"gesture":[31],"recognition":[32],"controlling":[34],"devices,":[35],"3-D":[36],"communication,":[37],"etc.":[38],"coming":[39],"to":[40,52,65,152,214],"fore.":[42],"The":[43],"popularity":[44],"sensor":[48],"can":[49],"be":[50],"attributed":[51],"its":[53],"low":[54],"cost":[55],"real-time":[58],"depth":[59,71,86,92,105,116,121,134,140,159,194,199],"map":[60,93,106,160,195],"generation":[61],"capability.":[62],"However,":[63],"owing":[64],"Kinect's":[66],"lack":[67],"sophistication,":[69],"maps":[72],"generated":[73,81,120],"have":[74],"lot":[76],"artifacts":[78],"like":[79],"poorly":[80],"object":[82,156],"boundaries":[83,188],"missing":[85,115,133],"values":[87,135],"misalignment":[89],"between":[90],"color":[96,147],"image.":[97],"In":[98,204],"this":[99],"paper,":[100],"novel":[102],"technique":[103,183],"correction":[107],"post-processing":[109,182],"is":[110,163,212],"proposed.":[111],"To":[112],"fill":[113],"pixels":[117,141],"in":[118],"map,":[122],"we":[123],"use":[124],"color-aware":[126],"Gaussian-weighted":[127],"averaging":[128],"filter":[129],"which":[130],"estimates":[131],"using":[136,144,176],"surrounding":[138],"good":[139],"by":[143],"corresponding":[146],"image":[148],"as":[149],"guide":[151],"prevent":[153],"filtering":[154],"across":[155],"boundaries.":[157],"A":[158],"enhancement":[161],"algorithm":[162],"then":[164],"proposed":[165,208],"based":[166],"on":[167],"multi-step":[168],"upsampling-based":[169],"anisotropic":[170],"diffusion":[171],"structure":[173],"aware":[174],"weights":[175],"SSIM":[178],"distortion":[179],"metric.":[180],"This":[181],"corrects":[184],"sharpens":[186],"objects":[191],"ensures":[197],"local":[198],"smoothness":[200],"within":[201],"objects.":[203],"all":[205],"techniques,":[209],"an":[210],"effort":[211],"made":[213],"reduce":[215],"complexity":[217],"keep":[219],"execution":[221],"real-time.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}