{"id":"https://openalex.org/W2883299468","doi":"https://doi.org/10.1109/tip.2018.2855414","title":"Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption","display_name":"Weighted Large Margin Nearest Center Distance-Based Human Depth Recovery With Limited Bandwidth Consumption","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2883299468","doi":"https://doi.org/10.1109/tip.2018.2855414","mag":"2883299468","pmid":"https://pubmed.ncbi.nlm.nih.gov/30010564"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2855414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2855414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012217615","display_name":"Meiyu Huang","orcid":"https://orcid.org/0000-0002-7513-1764"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meiyu Huang","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089966269","display_name":"Xueshuang Xiang","orcid":"https://orcid.org/0000-0001-7794-4876"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshuang Xiang","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008558592","display_name":"Yiqiang Chen","orcid":"https://orcid.org/0000-0002-8407-0780"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101995060","display_name":"Da Fan","orcid":"https://orcid.org/0000-0003-1933-5962"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Fan","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012217615"],"corresponding_institution_ids":["https://openalex.org/I194716290"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70594466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"27","issue":"12","first_page":"5728","last_page":"5743"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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":0.9979000091552734,"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/upsampling","display_name":"Upsampling","score":0.7406557202339172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292667984962463},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6161834597587585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787851214408875},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.550564169883728},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5242350697517395},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5062733888626099},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.49118778109550476},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.45250993967056274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3914918303489685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35163018107414246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2776474058628082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10917890071868896}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7406557202339172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292667984962463},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6161834597587585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787851214408875},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.550564169883728},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5242350697517395},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5062733888626099},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.49118778109550476},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.45250993967056274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3914918303489685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35163018107414246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2776474058628082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10917890071868896},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2855414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2855414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30010564","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30010564","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1118247936","display_name":null,"funder_award_id":"61572471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4698583937","display_name":null,"funder_award_id":"Z171100000117017","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G6725784858","display_name":null,"funder_award_id":"2017YFC0803401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6758318660","display_name":null,"funder_award_id":"61702520","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8690140484","display_name":null,"funder_award_id":"61773383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1498305593","https://openalex.org/W1564583583","https://openalex.org/W1596382552","https://openalex.org/W1898424075","https://openalex.org/W1948643287","https://openalex.org/W1964370383","https://openalex.org/W1971382282","https://openalex.org/W1977193486","https://openalex.org/W1983582488","https://openalex.org/W1984707692","https://openalex.org/W1985293191","https://openalex.org/W1987648924","https://openalex.org/W1994184495","https://openalex.org/W2006500058","https://openalex.org/W2006867539","https://openalex.org/W2008523386","https://openalex.org/W2015207482","https://openalex.org/W2030300879","https://openalex.org/W2058318567","https://openalex.org/W2068956868","https://openalex.org/W2082253268","https://openalex.org/W2087315237","https://openalex.org/W2093500899","https://openalex.org/W2093549852","https://openalex.org/W2096100960","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2104974755","https://openalex.org/W2106053110","https://openalex.org/W2109945199","https://openalex.org/W2118273112","https://openalex.org/W2119593707","https://openalex.org/W2124202434","https://openalex.org/W2124387682","https://openalex.org/W2132347401","https://openalex.org/W2134227763","https://openalex.org/W2142863987","https://openalex.org/W2149003305","https://openalex.org/W2150491921","https://openalex.org/W2153241548","https://openalex.org/W2153388956","https://openalex.org/W2156222070","https://openalex.org/W2156349736","https://openalex.org/W2160956336","https://openalex.org/W2167250031","https://openalex.org/W2169495281","https://openalex.org/W2169532592","https://openalex.org/W2172156083","https://openalex.org/W2184823109","https://openalex.org/W2293588710","https://openalex.org/W2351248993","https://openalex.org/W2394306070","https://openalex.org/W2515179548","https://openalex.org/W2518792500","https://openalex.org/W2521490062","https://openalex.org/W2524856263","https://openalex.org/W2571794112","https://openalex.org/W2595014588","https://openalex.org/W2605124391","https://openalex.org/W2612702926","https://openalex.org/W2619144143","https://openalex.org/W2736830261","https://openalex.org/W2740792888","https://openalex.org/W2912522929","https://openalex.org/W3143986115","https://openalex.org/W4234282793","https://openalex.org/W4241716071","https://openalex.org/W4245056731","https://openalex.org/W6629622560","https://openalex.org/W6633864139","https://openalex.org/W6635376254","https://openalex.org/W6639352576","https://openalex.org/W6640763731","https://openalex.org/W6675583418","https://openalex.org/W6675751002","https://openalex.org/W6676600194","https://openalex.org/W6678681887","https://openalex.org/W6816500105"],"related_works":["https://openalex.org/W2795471480","https://openalex.org/W2140069086","https://openalex.org/W2104324080","https://openalex.org/W2520322935","https://openalex.org/W3005941135","https://openalex.org/W2027589961","https://openalex.org/W2086087387","https://openalex.org/W2155505427","https://openalex.org/W2537394792","https://openalex.org/W2122353381"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,71,78,87,93,121,166,215],"weighted":[4,122,162],"large":[5,116],"margin":[6,117],"nearest":[7],"center":[8],"(WLMNC)":[9],"distance-based":[10],"human":[11,39,55,73,174,183,210],"depth":[12,34,56,74,89,101,131,142,184,193,211],"recovery":[13,132,185,194,212],"method":[14,30,68,208],"for":[15,209],"tele-immersive":[16],"video":[17],"interaction":[18],"systems":[19],"with":[20,120,148,176,190,213],"limited":[21],"bandwidth":[22],"consumption.":[23],"In":[24,63],"the":[25,28,33,37,46,54,60,64,67,100,115,127,157,161,182,191,197,203,206],"remote":[26,38],"stage,":[27,66],"proposed":[29,109,207],"highly":[31],"compresses":[32],"data":[35,168,200],"of":[36,159,173,205],"into":[40],"skeletal":[41,145],"block":[42,146],"structures":[43,147],"by":[44,114],"learning":[45],"WLMNC":[47,79,110],"distance,":[48],"which":[49],"is":[50,112,135,153,178],"equivalent":[51],"to":[52,98,125,137,140,155,180],"downsampling":[53],"map":[57,75,90],"at":[58],"$64{\\times}$":[59],"sampling":[61],"rate.":[62,218],"local":[65],"first":[69],"recovers":[70],"rough":[72,94],"based":[76,91],"on":[77,92,196],"distance":[80,111],"augmented":[81],"clustering":[82,118,128],"approach":[83],"and":[84,103,130,134],"then":[85],"obtains":[86],"fine":[88],"depth-guided":[95],"autoregressive":[96],"model":[97],"preserve":[99,141],"discontinuities":[102,143],"suppress":[104],"texture":[105],"copy":[106],"artifacts.":[107],"The":[108,187],"learned":[113],"problem":[119],"hinge":[123,163],"loss":[124],"balance":[126],"accuracy":[129,133],"verified":[136],"be":[138],"able":[139],"between":[144],"occlusion.":[149],"A":[150],"theoretical":[151],"analysis":[152],"conducted":[154],"verify":[156],"effectiveness":[158,204],"using":[160],"loss.":[164],"Furthermore,":[165],"novel":[167],"set":[169,201],"containing":[170],"various":[171],"types":[172],"postures":[175],"self-occlusion":[177],"built":[179],"benchmark":[181,199],"methods.":[186],"quantitative":[188],"comparison":[189],"state-of-the-art":[192],"methods":[195],"introduced":[198],"demonstrates":[202],"such":[214],"high":[216],"upsampling":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}