{"id":"https://openalex.org/W3167629918","doi":"https://doi.org/10.1109/icme51207.2021.9428077","title":"Dual Regularization Based Depth Map Super-Resolution with Graph Laplacian Prior","display_name":"Dual Regularization Based Depth Map Super-Resolution with Graph Laplacian Prior","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3167629918","doi":"https://doi.org/10.1109/icme51207.2021.9428077","mag":"3167629918"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5013533432","display_name":"Longhua Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longhua Sun","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346140","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-1531-0912"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013727612","display_name":"Ruiqin Xiong","orcid":"https://orcid.org/0000-0001-9796-0478"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqin Xiong","raw_affiliation_strings":["Peking University,Institute of Digital Media,Beijing,China","Institute of Digital Media, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Institute of Digital Media,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347721","display_name":"Yunhui Shi","orcid":"https://orcid.org/0000-0002-8480-0536"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Yunhui Shi","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086607958","display_name":"Qing Zhu","orcid":"https://orcid.org/0000-0001-7380-485X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013533432"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05665033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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":0.9988999962806702,"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":0.6913363933563232},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.641446053981781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597740888595581},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5478562712669373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5357211232185364},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5282936096191406},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.5261242389678955},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4860022962093353},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.46444159746170044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44432929158210754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4222668409347534},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4147317111492157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34751439094543457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32620251178741455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2601909935474396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16496002674102783},{"id":"https://openalex.org/keywords/planar-graph","display_name":"Planar graph","score":0.07327732443809509}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6913363933563232},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.641446053981781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597740888595581},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5478562712669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5357211232185364},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5282936096191406},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.5261242389678955},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4860022962093353},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.46444159746170044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44432929158210754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4222668409347534},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4147317111492157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34751439094543457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32620251178741455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2601909935474396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16496002674102783},{"id":"https://openalex.org/C101837359","wikidata":"https://www.wikidata.org/wiki/Q547823","display_name":"Planar graph","level":3,"score":0.07327732443809509},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1994184495","https://openalex.org/W2013910448","https://openalex.org/W2100816864","https://openalex.org/W2101131403","https://openalex.org/W2153388956","https://openalex.org/W2199472553","https://openalex.org/W2508691887","https://openalex.org/W2521490062","https://openalex.org/W2524856263","https://openalex.org/W2790567986","https://openalex.org/W2893425817","https://openalex.org/W2897799240","https://openalex.org/W2979326614","https://openalex.org/W4241716071","https://openalex.org/W6675263543"],"related_works":["https://openalex.org/W2003805688","https://openalex.org/W2570009360","https://openalex.org/W3004345458","https://openalex.org/W2883186538","https://openalex.org/W2051180862","https://openalex.org/W1976439244","https://openalex.org/W2402951419","https://openalex.org/W2896947499","https://openalex.org/W4244587941","https://openalex.org/W2362501828"],"abstract_inverted_index":{"The":[0],"edge":[1,23],"information":[2],"plays":[3],"key":[4],"role":[5],"in":[6,22,33,132],"the":[7,17,36,62,69,106,121],"restoration":[8,63],"of":[9,64,96,124,134],"depth":[10,42,65,97,101],"map.":[11,98],"Most":[12],"conventional":[13],"methods":[14],"assume":[15],"that":[16,32,49],"RGB-D":[18,51],"pairs":[19,73],"are":[20,45],"consistent":[21],"areas.":[24],"In":[25],"this":[26],"paper,":[27],"firstly,":[28],"we":[29,54],"point":[30],"out":[31],"most":[34],"cases":[35],"consistency":[37,70],"between":[38,71,108],"normal":[39],"map":[40],"and":[41,75,136],"map(N-D":[43],"pairs)":[44],"much":[46],"higher":[47],"than":[48],"be-tween":[50],"pairs.":[52],"Then":[53],"propose":[55],"a":[56,78,86],"dual":[57],"regularization":[58],"term":[59],"to":[60,90,114],"guide":[61],"map,":[66],"which":[67],"constrains":[68],"N-D":[72],"back":[74],"forth.":[76],"Moreover,":[77],"reweighted":[79],"graph":[80,104],"Laplacian":[81],"prior":[82],"is":[83,111],"incorporated":[84],"into":[85],"unified":[87],"optimization":[88],"framework":[89],"effectively":[91],"protect":[92],"piece-wise":[93],"smoothness(PWS)":[94],"characteristics":[95],"By":[99],"treating":[100],"maps":[102],"as":[103],"signals,":[105],"weight":[107],"two":[109],"nodes":[110],"adapted":[112],"according":[113],"its":[115],"content.":[116],"Extensive":[117],"experimental":[118],"results":[119],"demonstrate":[120],"superior":[122],"performance":[123],"our":[125],"method":[126],"compared":[127],"with":[128],"other":[129],"state-of-the-art":[130],"works":[131],"terms":[133],"objective":[135],"subjective":[137],"quality":[138],"evaluations.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
