{"id":"https://openalex.org/W4283784934","doi":"https://doi.org/10.1109/tip.2022.3186532","title":"Hilbert Space Filling Curve Based Scan-Order for Point Cloud Attribute Compression","display_name":"Hilbert Space Filling Curve Based Scan-Order for Point Cloud Attribute Compression","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4283784934","doi":"https://doi.org/10.1109/tip.2022.3186532","pmid":"https://pubmed.ncbi.nlm.nih.gov/35776811"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3186532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3186532","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101445417","display_name":"Jiafeng Chen","orcid":"https://orcid.org/0009-0007-8180-0833"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiafeng Chen","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106403416","display_name":"Lu Yu","orcid":"https://orcid.org/0000-0002-0550-7754"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354892","display_name":"Wenyi Wang","orcid":"https://orcid.org/0000-0002-9127-102X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101445417"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":5.3157,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97304844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"4609","last_page":"4621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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":0.9975000023841858,"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/hilbert-curve","display_name":"Hilbert curve","score":0.8031326532363892},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7310987114906311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5522753596305847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5377504825592041},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5184454321861267},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4502257704734802},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4446493089199066},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4297254681587219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4233669936656952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3537580370903015}],"concepts":[{"id":"https://openalex.org/C2781142347","wikidata":"https://www.wikidata.org/wiki/Q1366592","display_name":"Hilbert curve","level":2,"score":0.8031326532363892},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7310987114906311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5522753596305847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5377504825592041},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5184454321861267},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4502257704734802},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4446493089199066},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4297254681587219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4233669936656952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3537580370903015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3186532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3186532","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:35776811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35776811","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3233677139","display_name":null,"funder_award_id":"U21B2004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8748308789","display_name":null,"funder_award_id":"62071427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W9583634","https://openalex.org/W1472640182","https://openalex.org/W1970805642","https://openalex.org/W1996833743","https://openalex.org/W2032175031","https://openalex.org/W2058097301","https://openalex.org/W2069548917","https://openalex.org/W2101700394","https://openalex.org/W2115650263","https://openalex.org/W2150182327","https://openalex.org/W2155631901","https://openalex.org/W2159772324","https://openalex.org/W2209600485","https://openalex.org/W2286803010","https://openalex.org/W2319503556","https://openalex.org/W2600201730","https://openalex.org/W2612846056","https://openalex.org/W2622735597","https://openalex.org/W2785758335","https://openalex.org/W2789865539","https://openalex.org/W2885862638","https://openalex.org/W2891837944","https://openalex.org/W2926206832","https://openalex.org/W2944922246","https://openalex.org/W2946430463","https://openalex.org/W2964387279","https://openalex.org/W2966379582","https://openalex.org/W2979471545","https://openalex.org/W2994763827","https://openalex.org/W3018870341","https://openalex.org/W3046978658","https://openalex.org/W3090913966","https://openalex.org/W3109895324","https://openalex.org/W4236712100","https://openalex.org/W4243882558"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W4389667028","https://openalex.org/W4382619169"],"abstract_inverted_index":{"Point":[0],"cloud":[1,59,163],"is":[2,12,53,115],"a":[3,13,64,141],"set":[4],"of":[5,16,39,48,78,86,128,174],"three-dimensional":[6],"points":[7,68,152],"in":[8,19,25],"arbitrary":[9],"order,":[10],"which":[11],"popular":[14],"representation":[15],"3D":[17],"scene":[18],"autonomous":[20],"navigation":[21],"and":[22,84,95,111,143,182,188],"immersive":[23],"applications":[24],"recent":[26],"years.":[27],"Compression":[28],"becomes":[29],"an":[30],"inevitable":[31],"issue":[32],"due":[33],"to":[34,44,150],"the":[35,98,103,120,125,170,175],"huge":[36],"data":[37],"volume":[38],"point":[40,58,79,133,162],"cloud.":[41],"In":[42,70],"order":[43],"effectively":[45],"compress":[46],"attributes":[47,60,129],"those":[49],"points,":[50],"proper":[51],"reordering":[52],"important.":[54],"The":[55,154],"existing":[56],"voxel-based":[57],"compression":[61],"scheme":[62],"uses":[63],"naive":[65],"scan":[66],"for":[67,132,186],"reordering.":[69,153],"this":[71],"paper,":[72],"we":[73],"theoretically":[74],"analyzed":[75],"3C":[76],"properties":[77],"cloud,":[80],"i.e.,":[81],"Compactness,":[82],"Clustering":[83],"Correlation,":[85],"different":[87,91,136],"scan-orders":[88],"defined":[89],"by":[90],"space":[92],"filling":[93],"curves":[94],"disclosed":[96],"that":[97,119,169],"Hilbert":[99,121,145,155],"curve":[100,122],"can":[101,178],"provide":[102],"best":[104,126],"spatial":[105],"correlation":[106,130,171],"preservation":[107,131,172],"compared":[108],"with":[109,135,160],"Z-order":[110],"Gray-coded":[112],"curves.":[113],"It":[114],"also":[116,139],"statistically":[117],"verified":[118],"always":[123],"has":[124],"ability":[127],"clouds":[134],"sparsity.":[137],"We":[138],"proposed":[140,176],"fast":[142],"iterative":[144],"address":[146],"code":[147],"generation":[148],"method":[149],"implement":[151],"scan-order":[156,177],"could":[157],"be":[158],"combined":[159],"various":[161],"attribute":[164],"coding":[165,184],"methods.":[166],"Experiments":[167],"show":[168],"feature":[173],"bring":[179],"us":[180],"6.1%":[181],"6.5%":[183],"gain":[185],"prediction":[187],"transform":[189],"coding,":[190],"respectively.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
