{"id":"https://openalex.org/W3015782722","doi":"https://doi.org/10.1109/ncc48643.2020.9056056","title":"Exploiting Low Rank Prior for Depth Map Completion","display_name":"Exploiting Low Rank Prior for Depth Map Completion","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015782722","doi":"https://doi.org/10.1109/ncc48643.2020.9056056","mag":"3015782722"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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/A5077748301","display_name":"Sukla Satapathy","orcid":"https://orcid.org/0000-0001-6077-7290"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukla Satapathy","raw_affiliation_strings":["Indian Institute of Technology,Department of Computer Science and Engineering,Kharagpur,India","Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Computer Science and Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067927122","display_name":"Rajiv R. Sahay","orcid":"https://orcid.org/0000-0003-0820-0616"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan Sahay","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Kharagpur,India","Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3916,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60701638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2020","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.884807825088501},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8558504581451416},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8202046155929565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7105607986450195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509185433387756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5755653977394104},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5153331160545349},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5079699158668518},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5058324337005615},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49121421575546265},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4193943738937378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3682364225387573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32844170928001404},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17342090606689453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11298069357872009}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.884807825088501},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8558504581451416},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8202046155929565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7105607986450195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509185433387756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5755653977394104},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5153331160545349},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5079699158668518},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5058324337005615},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49121421575546265},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4193943738937378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3682364225387573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32844170928001404},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17342090606689453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11298069357872009},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"mag:3086701283","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002238256327805","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W119188870","https://openalex.org/W125693051","https://openalex.org/W1993120651","https://openalex.org/W1994184495","https://openalex.org/W1995273075","https://openalex.org/W1997201895","https://openalex.org/W2000818808","https://openalex.org/W2022238106","https://openalex.org/W2024427324","https://openalex.org/W2025824069","https://openalex.org/W2081297271","https://openalex.org/W2091766585","https://openalex.org/W2097073572","https://openalex.org/W2099712288","https://openalex.org/W2103972604","https://openalex.org/W2130067871","https://openalex.org/W2131219916","https://openalex.org/W2142058898","https://openalex.org/W2143291846","https://openalex.org/W2155479981","https://openalex.org/W2160262053","https://openalex.org/W2295720354","https://openalex.org/W2339170012","https://openalex.org/W2402704303","https://openalex.org/W2471866883","https://openalex.org/W2505029951","https://openalex.org/W2519691482","https://openalex.org/W2521490062","https://openalex.org/W2524856263","https://openalex.org/W2537394792","https://openalex.org/W2611328865","https://openalex.org/W2765418357","https://openalex.org/W2794739174","https://openalex.org/W2893425817","https://openalex.org/W3101501663","https://openalex.org/W6602602565","https://openalex.org/W6605121731"],"related_works":["https://openalex.org/W3027110395","https://openalex.org/W3109174731","https://openalex.org/W2795471480","https://openalex.org/W4285125754","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092"],"abstract_inverted_index":{"Occurrence":[0],"of":[1,30,74,91,111],"regions":[2,76],"with":[3],"missing":[4,75],"data":[5],"in":[6,77],"depth":[7,31,37,47,81,94,118],"maps":[8],"either":[9],"captured":[10],"by":[11,16],"active":[12],"sensors":[13],"or":[14,49],"estimated":[15],"different":[17],"passive":[18],"computer":[19],"vision":[20],"algorithms,":[21],"is":[22,39,83],"unavoidable":[23],"due":[24],"to":[25,44,107],"several":[26,63,105],"reasons.":[27],"The":[28],"task":[29],"inpainting":[32,119],"from":[33],"a":[34,78,84],"single":[35],"degraded":[36,80],"map":[38,95],"more":[40],"challenging":[41],"as":[42,99],"compared":[43],"using":[45],"multiple":[46],"observations":[48],"RGB-D":[50],"data.":[51],"Recently,":[52],"low":[53,88],"rank":[54,89],"techniques":[55,65],"have":[56],"become":[57],"popular":[58],"and":[59],"shown":[60],"supremacy":[61],"over":[62,115],"state-of-the-art":[64,117],"for":[66],"image":[67],"deblurring,":[68],"denoising,":[69],"upsampling,":[70],"etc.":[71],"Since":[72],"completion":[73],"given":[79],"observation":[82],"severely":[85],"ill-posed":[86],"problem,":[87],"property":[90],"the":[92,100,109,112,116],"inpainted":[93],"can":[96],"be":[97],"posed":[98],"regularization":[101],"constraint.":[102],"We":[103],"perform":[104],"experiments":[106],"show":[108],"superiority":[110],"proposed":[113],"method":[114],"techniques.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}