{"id":"https://openalex.org/W2790044661","doi":"https://doi.org/10.1109/vcip.2017.8305070","title":"Exemplar-based framework for 3D point cloud hole filling","display_name":"Exemplar-based framework for 3D point cloud hole filling","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790044661","doi":"https://doi.org/10.1109/vcip.2017.8305070","mag":"2790044661"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 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/A5010633798","display_name":"Chinthaka Dinesh","orcid":"https://orcid.org/0000-0002-9908-3904"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chinthaka Dinesh","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012187461","display_name":"Ivan V. Baji\u0107","orcid":"https://orcid.org/0000-0003-3154-5743"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ivan V. Bajic","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038897476","display_name":"Gene Cheung","orcid":"https://orcid.org/0000-0002-5571-4137"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gene Cheung","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010633798"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.9702,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85844432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","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/point-cloud","display_name":"Point cloud","score":0.8156417012214661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6449106931686401},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6317811012268066},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5904139280319214},{"id":"https://openalex.org/keywords/filling-in","display_name":"Filling-in","score":0.560056209564209},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5582263469696045},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5374553203582764},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46052485704421997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4542922377586365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3476162552833557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3248799443244934},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2918398678302765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22049272060394287},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2141699492931366},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08851867914199829}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8156417012214661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449106931686401},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6317811012268066},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5904139280319214},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.560056209564209},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5582263469696045},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5374553203582764},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46052485704421997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4542922377586365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3476162552833557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3248799443244934},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2918398678302765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22049272060394287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2141699492931366},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08851867914199829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W102166857","https://openalex.org/W1981349497","https://openalex.org/W1991845454","https://openalex.org/W1998255762","https://openalex.org/W2006502673","https://openalex.org/W2022686119","https://openalex.org/W2069973741","https://openalex.org/W2100816864","https://openalex.org/W2105038642","https://openalex.org/W2119851068","https://openalex.org/W2121535648","https://openalex.org/W2148925582","https://openalex.org/W2153728718","https://openalex.org/W2227290239","https://openalex.org/W2293879247","https://openalex.org/W2442852286","https://openalex.org/W2562393372","https://openalex.org/W3150224893","https://openalex.org/W6648339516","https://openalex.org/W6682457547"],"related_works":["https://openalex.org/W2417599684","https://openalex.org/W2136359393","https://openalex.org/W3125779006","https://openalex.org/W4383558899","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W4383558898","https://openalex.org/W4247992781","https://openalex.org/W4285299496","https://openalex.org/W2442852286"],"abstract_inverted_index":{"Holes":[0],"can":[1],"arise":[2],"in":[3,29,61,85,115],"3D":[4,30],"point":[5,31],"clouds":[6],"due":[7],"to":[8,38,78,94],"a":[9],"number":[10],"of":[11,117],"reasons":[12],"such":[13],"as":[14],"incomplete":[15],"scans,":[16],"occlusions,":[17],"and":[18,46,71,107,114],"packet":[19],"loss.":[20],"We":[21],"present":[22],"an":[23],"exemplar-based":[24],"framework":[25],"for":[26,43],"hole":[27,52,76],"filling":[28,67],"clouds,":[32],"which":[33,62],"exploits":[34],"non-local":[35],"self":[36],"similarity":[37],"provide":[39],"plausible":[40],"reconstruction":[41],"even":[42],"large":[44],"holes":[45],"complex":[47],"surfaces.":[48],"Points":[49],"along":[50],"the":[51,59,75,80,86,95,118],"boundary":[53,77],"are":[54,64,92],"given":[55],"priority":[56],"that":[57],"determines":[58],"order":[60],"they":[63],"processed.":[65],"Hole":[66],"is":[68],"performed":[69],"iteratively":[70],"uses":[72],"templates":[73],"near":[74],"find":[79],"best":[81],"matching":[82],"regions":[83],"elsewhere":[84],"cloud,":[87],"from":[88],"where":[89],"existing":[90,105],"points":[91],"transferred":[93],"hole.":[96],"The":[97],"proposed":[98],"method":[99],"has":[100,108],"been":[101],"compared":[102],"with":[103],"several":[104],"methods":[106],"shown":[109],"superior":[110],"results,":[111],"both":[112],"visually":[113],"terms":[116],"Hausdorff":[119],"distance.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
