{"id":"https://openalex.org/W2034812653","doi":"https://doi.org/10.1145/2087756.2087769","title":"1-ring interpolatory wavelet using function vectors for mobile computing","display_name":"1-ring interpolatory wavelet using function vectors for mobile computing","publication_year":2011,"publication_date":"2011-12-11","ids":{"openalex":"https://openalex.org/W2034812653","doi":"https://doi.org/10.1145/2087756.2087769","mag":"2034812653"},"language":"en","primary_location":{"id":"doi:10.1145/2087756.2087769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2087756.2087769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry","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/A5076987947","display_name":"Chong Zhao","orcid":"https://orcid.org/0000-0002-9655-6454"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chong Zhao","raw_affiliation_strings":["CSE, CUHK, Hong Kong"],"affiliations":[{"raw_affiliation_string":"CSE, CUHK, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359489","display_name":"Hanqiu Sun","orcid":"https://orcid.org/0000-0002-3244-4111"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hanqiu Sun","raw_affiliation_strings":["CSE, CUHK, Hong Kong"],"affiliations":[{"raw_affiliation_string":"CSE, CUHK, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076987947"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10957158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","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/T11245","display_name":"Advanced Numerical Analysis Techniques","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/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"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/wavelet","display_name":"Wavelet","score":0.8069751262664795},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.7449344396591187},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6529276371002197},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6395571231842041},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.6366897821426392},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5851474404335022},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5492643117904663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5229983329772949},{"id":"https://openalex.org/keywords/fast-wavelet-transform","display_name":"Fast wavelet transform","score":0.5059334635734558},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.4961331784725189},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4666125178337097},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.4660447835922241},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.44799983501434326},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.42972850799560547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4063143730163574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35730206966400146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33433109521865845},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.16174879670143127}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8069751262664795},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7449344396591187},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6529276371002197},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6395571231842041},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.6366897821426392},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5851474404335022},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5492643117904663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5229983329772949},{"id":"https://openalex.org/C132736078","wikidata":"https://www.wikidata.org/wiki/Q338438","display_name":"Fast wavelet transform","level":5,"score":0.5059334635734558},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.4961331784725189},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4666125178337097},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.4660447835922241},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.44799983501434326},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.42972850799560547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4063143730163574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35730206966400146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33433109521865845},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.16174879670143127}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2087756.2087769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2087756.2087769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1735016904","display_name":null,"funder_award_id":"2.05E+13","funder_id":"https://openalex.org/F4320321019","funder_display_name":"University Grants Committee"},{"id":"https://openalex.org/G982385807","display_name":null,"funder_award_id":"416007","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321019","display_name":"University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W126840538","https://openalex.org/W1584452409","https://openalex.org/W1973758941","https://openalex.org/W1979041713","https://openalex.org/W1985812168","https://openalex.org/W1989480677","https://openalex.org/W1989850389","https://openalex.org/W2006716000","https://openalex.org/W2012909180","https://openalex.org/W2014134723","https://openalex.org/W2022586806","https://openalex.org/W2045034278","https://openalex.org/W2058409325","https://openalex.org/W2080717257","https://openalex.org/W2090387084","https://openalex.org/W2117028583","https://openalex.org/W2117188745","https://openalex.org/W2125481678","https://openalex.org/W2130298858","https://openalex.org/W2154320156","https://openalex.org/W2162677913","https://openalex.org/W2163324644","https://openalex.org/W2166145165"],"related_works":["https://openalex.org/W2463313577","https://openalex.org/W2081592859","https://openalex.org/W2085792030","https://openalex.org/W2391053410","https://openalex.org/W2368320199","https://openalex.org/W2594889803","https://openalex.org/W2101997086","https://openalex.org/W1889651196","https://openalex.org/W2071357496","https://openalex.org/W2274421086"],"abstract_inverted_index":{"As":[0],"an":[1],"effective":[2],"tool":[3],"for":[4,10,33,102,175,230],"the":[5,11,16,28,34,42,55,65,83,95,104,109,116,121,135,143,149,159,171,176,179,184,192,198,220,231],"multiresolution":[6,185],"rendering":[7],"and":[8,14,21,52,77,178,188,203,217],"editing":[9],"complex":[12],"models":[13,63],"scenes,":[15],"wavelet":[17,30,56,79,90,123,180,199,213],"transforms":[18,31],"attract":[19],"more":[20,22,201],"attention":[23],"in":[24,41,54],"recent":[25],"years.":[26],"While,":[27],"usual":[29,110],"developed":[32],"mesh":[35],"simplification":[36],"still":[37],"have":[38,209],"some":[39],"problems":[40],"efficiency":[43],"or":[44,58],"shape":[45,144,161,172],"preservation.":[46],"They":[47],"either":[48],"consume":[49],"much":[50],"time":[51],"memory":[53,205],"analysis,":[57],"generate":[59],"low-detailed":[60],"versions":[61],"of":[62,115,134,145],"with":[64,219],"unwilling":[66],"sharp":[67],"convex":[68],"edges.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,164],"propose":[74],"a":[75,139,166],"novel":[76],"efficient":[78,202,216],"transform":[80,91,200,214],"based":[81],"on":[82,94],"matrix-valued":[84,89,122],"1-ring":[85,152],"interpolatory":[86],"subdivision.":[87],"Our":[88],"is":[92,155,215],"constructed":[93],"function":[96],"vectors,":[97],"which":[98,137],"makes":[99],"it":[100,227],"suitable":[101,229],"processing":[103],"vector-valued":[105,117],"signals.":[106],"Different":[107],"from":[108],"multivariate":[111],"wavelets,":[112],"each":[113,132],"component":[114,133],"signals":[118],"processed":[119],"by":[120,131],"are":[124,129],"correlated.":[125],"The":[126,207],"resulted":[127],"meshes":[128],"influenced":[130],"vector,":[136],"provides":[138],"way":[140],"to":[141,158,169,196],"adjust":[142],"meshes.":[146],"To":[147],"overcome":[148],"defect":[150],"that":[151,211],"subdivision":[153,177],"surfaces":[154,186],"too":[156],"sensitive":[157],"initial":[160],"control":[162,173],"parameters,":[163],"develop":[165],"general":[167],"approach":[168],"determine":[170],"parameters":[174],"transform,":[181],"so":[182],"making":[183],"stable":[187],"smooth.":[189],"We":[190],"adopt":[191],"local":[193],"lifting":[194],"scheme":[195],"make":[197,226],"low":[204],"cost.":[206],"experiments":[208],"shown":[210],"our":[212],"stable,":[218],"good":[221],"shape-preserving":[222],"ability.":[223],"These":[224],"features":[225],"especially":[228],"resource-limited":[232],"mobile":[233],"computing.":[234]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
