{"id":"https://openalex.org/W2782939024","doi":"https://doi.org/10.32657/10356/73161","title":"Towards high-quality 3D telepresence with commodity RGBD camera","display_name":"Towards high-quality 3D telepresence with commodity RGBD camera","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2782939024","doi":"https://doi.org/10.32657/10356/73161","mag":"2782939024"},"language":"en","primary_location":{"id":"doi:10.32657/10356/73161","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/73161","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/73161/1/thesis_compressed.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/73161/1/thesis_compressed.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103040243","display_name":"Mengyao Zhao","orcid":"https://orcid.org/0009-0004-4441-0922"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhao, Mengyao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103040243"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9995999932289124,"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":0.9995999932289124,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9927999973297119,"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/commodity","display_name":"Commodity","score":0.6025677919387817},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5365609526634216},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5255336165428162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4458494782447815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4269176423549652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3648158013820648},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.16975951194763184},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08596563339233398}],"concepts":[{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.6025677919387817},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5365609526634216},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5255336165428162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4458494782447815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4269176423549652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3648158013820648},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.16975951194763184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08596563339233398},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32657/10356/73161","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/73161","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/73161/1/thesis_compressed.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/73161","is_oa":false,"landing_page_url":"http://hdl.handle.net/10356/73161","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.32657/10356/73161","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/73161","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/73161/1/thesis_compressed.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2782939024.pdf","grobid_xml":"https://content.openalex.org/works/W2782939024.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W120056940","https://openalex.org/W641904389","https://openalex.org/W1458485205","https://openalex.org/W1528096490","https://openalex.org/W1538733018","https://openalex.org/W1540317432","https://openalex.org/W1568788419","https://openalex.org/W1573546770","https://openalex.org/W1966689774","https://openalex.org/W1979031993","https://openalex.org/W1987648924","https://openalex.org/W1999293003","https://openalex.org/W2012875423","https://openalex.org/W2016285927","https://openalex.org/W2023507828","https://openalex.org/W2026356722","https://openalex.org/W2026400262","https://openalex.org/W2029998732","https://openalex.org/W2031520924","https://openalex.org/W2035773017","https://openalex.org/W2043980245","https://openalex.org/W2049872530","https://openalex.org/W2057175746","https://openalex.org/W2057190819","https://openalex.org/W2066727705","https://openalex.org/W2070157203","https://openalex.org/W2077263423","https://openalex.org/W2080088491","https://openalex.org/W2082285235","https://openalex.org/W2083277843","https://openalex.org/W2083798010","https://openalex.org/W2089673850","https://openalex.org/W2090786167","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2103917701","https://openalex.org/W2104095591","https://openalex.org/W2106109550","https://openalex.org/W2107822562","https://openalex.org/W2109877112","https://openalex.org/W2110738137","https://openalex.org/W2115271519","https://openalex.org/W2116040950","https://openalex.org/W2124354653","https://openalex.org/W2124592110","https://openalex.org/W2125436763","https://openalex.org/W2126369166","https://openalex.org/W2133155955","https://openalex.org/W2134820502","https://openalex.org/W2142863122","https://openalex.org/W2145115810","https://openalex.org/W2149354762","https://openalex.org/W2150134853","https://openalex.org/W2152191214","https://openalex.org/W2153583129","https://openalex.org/W2157935984","https://openalex.org/W2161879634","https://openalex.org/W2162562040","https://openalex.org/W2162813571","https://openalex.org/W2167897892","https://openalex.org/W2168336231","https://openalex.org/W2168389422","https://openalex.org/W2169757860","https://openalex.org/W2170197086","https://openalex.org/W2171120124","https://openalex.org/W2171825998","https://openalex.org/W2276246060","https://openalex.org/W2296672305","https://openalex.org/W2557654666","https://openalex.org/W2565236631","https://openalex.org/W3101501663","https://openalex.org/W4206461345","https://openalex.org/W4230312705","https://openalex.org/W4231470622","https://openalex.org/W4235748159","https://openalex.org/W4244782181","https://openalex.org/W4245705733","https://openalex.org/W4247365723","https://openalex.org/W4385490361","https://openalex.org/W6678424907","https://openalex.org/W6679637937","https://openalex.org/W6730265106"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"3D":[0,31,57,89,99,121,143,228,267,324,337,343],"telepresence":[1,32,58,144],"aims":[2],"at":[3,14,138,244],"providing":[4],"remote":[5,50],"participants":[6],"to":[7,70,82,87,180,193,234,281,333],"have":[8,185],"the":[9,15,140,152,168,188,204,211,245,283,335,353,356,360,363,370,408,414],"perception":[10],"of":[11,30,55,106,120,142,156,171,213,273,349,365,383,385,413],"being":[12],"present":[13],"same":[16,246],"physical":[17],"space,":[18],"which":[19,42,114,222,254,420],"cannot":[20],"be":[21],"achieved":[22],"by":[23,340,410,419],"any":[24],"2D":[25],"teleconference":[26],"system.":[27],"The":[28,104],"success":[29],"will":[33],"greatly":[34],"enhance":[35],"communications,":[36],"allowing":[37],"much":[38],"better":[39,308],"user":[40],"experience,":[41],"could":[43],"stimulate":[44],"many":[45,62,126,257],"applications":[46],"including":[47,260,387],"teleconference,":[48],"telesurgery,":[49],"education,":[51],"etc.":[52,373],"Despite":[53],"years":[54],"study,":[56],"research":[59],"still":[60,312],"faces":[61],"challenges":[63],"such":[64,110,351],"as":[65,111,305,307,352],"high":[66,78,94,239],"system":[67,380,405],"cost,":[68],"hard":[69,86,233],"achieve":[71,194,423],"real-time":[72,92,195,214,314,433],"performance":[73],"with":[74,93,145,290,301,416],"consumer-level":[75],"hardware":[76],"and":[77,96,102,117,163,173,241,266,277,359,398],"computation":[79,415],"requirement,":[80],"costly":[81],"obtain":[83],"depth":[84,122,154,158,263],"data,":[85],"extracting":[88,215],"people":[90],"in":[91,123,191,227,323,367],"quality":[95,141,240,304,428],"difficult":[97],"for":[98],"scene":[100,339,358,378,390,392,394,396,399,429],"replacement":[101,379,430],"composition.":[103],"emerging":[105],"consumer-grade":[107],"range":[108,364],"cameras,":[109],"Microsoft":[112],"Kinect,":[113],"provides":[115],"convenient":[116],"low-cost":[118],"acquisition":[119],"real-time,":[124],"accelerate":[125],"multimedia":[127],"applications.":[128],"In":[129],"this":[130],"thesis,":[131],"we":[132,165,209,317,331,421],"make":[133],"a":[134,175,224,250,328,341,347,376],"few":[135],"attempts,":[136],"aim":[137],"improving":[139],"commodity":[146,157],"RGBD":[147,329],"camera.":[148],"First,":[149],"considering":[150],"that":[151,200,381],"raw":[153],"data":[155,279],"camera":[159],"is":[160,223],"highly":[161],"noisy":[162],"error-prone,":[164],"carefully":[166],"study":[167],"error":[169],"patterns":[170],"Kinect":[172,182],"propose":[174,249,375],"multi-scale":[176],"direction-aware":[177],"filtering":[178],"method":[179,190,202,295],"combat":[181],"noise.":[183],"We":[184,248,269,374,401],"also":[186,270,402,432],"implemented":[187],"proposed":[189,294],"CUDA":[192,275,417],"performance.":[196,315,434],"Experimental":[197,285],"results":[198,286],"show":[199,287],"our":[201,293,404],"outperforms":[203],"popular":[205],"bilateral":[206],"filter.":[207],"Second,":[208],"consider":[210,319],"problem":[212,322],"dynamic":[216],"foreground":[217,251,299,388],"person":[218],"from":[219],"RGB-D":[220],"video,":[221,330],"common":[225],"task":[226],"telepresence.":[229],"Existing":[230],"methods":[231],"are":[232,346],"en-":[235],"sure":[236],"real":[237],"time,":[238],"temporal":[242,309],"coherence":[243],"time.":[247],"extraction":[252],"framework":[253],"nicely":[255],"integrates":[256],"existing":[258],"techniques":[259],"background":[261,338],"subtraction,":[262],"hole":[264],"filing":[265],"matting.":[268],"take":[271],"advantage":[272],"various":[274],"strategies":[276],"spatial":[278],"structures":[280],"improve":[282],"speed.":[284],"that,":[288],"compared":[289],"state-of-the-art":[291],"methods,":[292],"can":[296,422],"extract":[297],"stable":[298],"objects":[300],"higher":[302],"visual":[303,427],"well":[306],"coherence,":[310],"while":[311],"achieving":[313],"Third,":[316],"further":[318],"another":[320],"challenging":[321],"telepresence,":[325],"i.e.":[326],"given":[327],"want":[332],"replace":[334],"local":[336,357],"target":[342,361],"scene.":[344],"There":[345],"lot":[348],"issues":[350],"mismatch":[354],"between":[355],"scene,":[362],"motion":[366],"different":[368],"scenes,":[369],"collision":[371],"problem,":[372],"novel":[377],"consists":[382],"multi-stages":[384],"processing":[386],"extraction,":[389],"adjustment,":[391],"analysis,":[393],"suggestion,":[395],"matching,":[397],"rendering.":[400],"develop":[403],"entirely":[406],"on":[407],"GPU":[409],"parallelizing":[411],"most":[412],"strategies,":[418],"not":[424],"only":[425],"good":[426],"but":[431]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2018-01-26T00:00:00"}
