{"id":"https://openalex.org/W1968409679","doi":"https://doi.org/10.1109/vcip.2013.6706366","title":"Color image guided locality regularized representation for Kinect depth holes filling","display_name":"Color image guided locality regularized representation for Kinect depth holes filling","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W1968409679","doi":"https://doi.org/10.1109/vcip.2013.6706366","mag":"1968409679"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","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/A5103336589","display_name":"Jinhui Hu","orcid":"https://orcid.org/0009-0003-2218-1447"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhui Hu","raw_affiliation_strings":["NERCMS, Wuhan University, Wuhan, China","Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"NERCMS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087726516","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-0290-5757"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["NERCMS, Wuhan University, Wuhan, China","Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"NERCMS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["NERCMS, Wuhan University, Wuhan, China","Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"NERCMS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687954","display_name":"Yan Gong","orcid":"https://orcid.org/0000-0002-3148-8286"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gong","raw_affiliation_strings":["NERCMS, Wuhan University, Wuhan, China","Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"NERCMS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003256860","display_name":"Mang Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Duan","raw_affiliation_strings":["NERCMS, Wuhan University, Wuhan, China","Computer School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"NERCMS, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103336589"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.3608,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82701322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9984999895095825,"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/pixel","display_name":"Pixel","score":0.7624673843383789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7612966299057007},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.7583786845207214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7229573726654053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685418963432312},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6283071637153625},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5386350750923157},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5264222025871277},{"id":"https://openalex.org/keywords/filling-in","display_name":"Filling-in","score":0.5247811675071716},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4818240702152252},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45902925729751587},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4547837972640991},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4213227927684784},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.41750502586364746},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23275110125541687},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.11565983295440674}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7624673843383789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612966299057007},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.7583786845207214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7229573726654053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685418963432312},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6283071637153625},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5386350750923157},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5264222025871277},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.5247811675071716},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4818240702152252},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45902925729751587},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4547837972640991},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4213227927684784},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.41750502586364746},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23275110125541687},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.11565983295440674},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1989787194","https://openalex.org/W2027922120","https://openalex.org/W2039039026","https://openalex.org/W2043980245","https://openalex.org/W2104600947","https://openalex.org/W2117483887","https://openalex.org/W2145406111"],"related_works":["https://openalex.org/W2069804294","https://openalex.org/W3003635891","https://openalex.org/W2004259562","https://openalex.org/W2014223894","https://openalex.org/W2051865507","https://openalex.org/W4233980002","https://openalex.org/W118619313","https://openalex.org/W1994296543","https://openalex.org/W1972083948","https://openalex.org/W2735902060"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,20,32,47,72,158,182],"Microsoft":[3],"Kinect":[4,74,86],"has":[5],"attracted":[6],"the":[7,18,25,29,33,45,54,63,70,82,106,121,125,148,155,159,173,180],"attention":[8],"not":[9,117,131],"only":[10],"from":[11,15,163],"consumers":[12],"but":[13],"also":[14],"researchers":[16],"in":[17,35,62,81,85,166,179,186],"field":[19],"computer":[21],"vision.":[22],"It":[23],"facilitates":[24],"possibility":[26],"to":[27,44,79,104,119,146],"capture":[28],"depth":[30,56,60,87,108,112,128,150,161,183],"map":[31,57,184],"scene":[34],"real":[36],"time":[37],"and":[38,188],"with":[39],"low":[40],"cost.":[41],"Nonetheless,":[42],"due":[43],"limitations":[46],"structured":[48],"light":[49],"measurements":[50],"used":[51],"by":[52,110,152],"Kinect,":[53],"captured":[55],"suffers":[58],"random":[59],"missing":[61,107,127,149],"occlusion":[64],"or":[65,97],"smooth":[66,187],"regions,":[67],"which":[68],"affects":[69],"accuracy":[71],"many":[73],"based":[75],"applications.":[76],"In":[77,133],"order":[78],"fill":[80,178],"holes":[83,181],"existing":[84],"map,":[88],"some":[89],"approaches":[90],"that":[91,172],"adopted":[92],"color":[93,139,167],"image":[94,140],"guided":[95,141],"in-painting":[96],"joint":[98],"bilateral":[99],"filter":[100],"have":[101],"been":[102],"proposed":[103,174],"represent":[105],"pixel":[109],"available":[111,160],"pixels.":[113],"However,":[114],"they":[115],"are":[116,130],"able":[118],"obtain":[120],"optimal":[122,156],"weights,":[123],"thus":[124],"obtained":[126],"values":[129],"best.":[132],"this":[134],"paper,":[135],"we":[136],"propose":[137],"a":[138],"locality":[142],"regularized":[143],"representation":[144],"(CGLRR)":[145],"reconstruct":[147],"pixels":[151,162],"comprehensively":[153],"determining":[154],"weights":[157],"collocated":[164],"patches":[165],"image.":[168],"Experimental":[169],"results":[170],"demonstrate":[171],"algorithm":[175],"can":[176],"better":[177],"both":[185],"edge":[189],"region":[190],"than":[191],"previous":[192],"works.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
