{"id":"https://openalex.org/W1998774259","doi":"https://doi.org/10.1109/icip.2013.6738448","title":"Depth enhancement based on hybrid geometric hole filling strategy","display_name":"Depth enhancement based on hybrid geometric hole filling strategy","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1998774259","doi":"https://doi.org/10.1109/icip.2013.6738448","mag":"1998774259"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5035443556","display_name":"Lu Sheng","orcid":"https://orcid.org/0000-0002-8525-9163"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Sheng","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong","Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"King Ngi Ngan","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong","Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035443556"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7536168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2173","last_page":"2176"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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":0.9984999895095825,"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":0.6820265054702759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647694110870361},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5731122493743896},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5715799927711487},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5117282867431641},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47137534618377686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45548054575920105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45274314284324646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4140406847000122},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10852274298667908}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6820265054702759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647694110870361},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5731122493743896},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5715799927711487},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5117282867431641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47137534618377686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45548054575920105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45274314284324646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4140406847000122},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10852274298667908},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W133182883","https://openalex.org/W1491073809","https://openalex.org/W1984844207","https://openalex.org/W2092940910","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2109945199","https://openalex.org/W2118246710","https://openalex.org/W2155830983","https://openalex.org/W2161879634","https://openalex.org/W4241716071","https://openalex.org/W6629222711","https://openalex.org/W6676600194"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W1996130883","https://openalex.org/W2748574964"],"abstract_inverted_index":{"Depth":[0],"map":[1,46],"is":[2,81],"a":[3,40,58,62],"crucial":[4],"component":[5],"in":[6,57],"various":[7],"3D":[8],"applications.":[9],"However,":[10],"current":[11],"available":[12],"depth":[13,25,45],"maps":[14],"usually":[15],"suffer":[16],"from":[17],"low":[18],"resolution,":[19],"high":[20],"noise,":[21],"random":[22],"and":[23,76],"structural":[24],"missing":[26],"problems":[27,56],"due":[28],"to":[29,43],"theoretical,":[30],"systematic":[31],"or":[32],"hardware":[33],"limitations.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"method":[42,89],"enhance":[44],"with":[47],"the":[48,70,87],"guidance":[49],"of":[50,72],"aligned":[51],"color":[52],"image,":[53],"tackling":[54],"these":[55],"whole":[59],"framework,":[60],"where":[61],"hybrid":[63],"strategy":[64],"on":[65],"filling":[66],"hole":[67],"geometrically":[68],"by":[69],"combination":[71],"joint":[73],"bilateral":[74],"filtering":[75],"segment-based":[77],"surface":[78],"structure":[79],"propagation":[80],"introduced.":[82],"Our":[83],"experimental":[84],"results":[85],"prove":[86],"proposed":[88],"outperforms":[90],"existing":[91],"methods.":[92]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"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"}
