{"id":"https://openalex.org/W4293518239","doi":"https://doi.org/10.1109/icme52920.2022.9858927","title":"A Novel Grid-Based Geometry Compression Framework for Spinning Lidar Point Clouds","display_name":"A Novel Grid-Based Geometry Compression Framework for Spinning Lidar Point Clouds","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518239","doi":"https://doi.org/10.1109/icme52920.2022.9858927"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9858927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9858927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041968797","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7291-8193"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University,China","Peng Cheng Laboratory, Artificial Intelligence Research Center, China","School of Telecommunications Engineering, Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Artificial Intelligence Research Center, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036969753","display_name":"Youguang Yu","orcid":"https://orcid.org/0000-0002-6202-6922"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youguang Yu","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University,China","School of Telecommunications Engineering, Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055433813","display_name":"Fuzheng Yang","orcid":"https://orcid.org/0000-0002-8369-8015"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzheng Yang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University,China","School of Telecommunications Engineering, Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7057,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89298124,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8726012706756592},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8592288494110107},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7740260362625122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6694467067718506},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6670898795127869},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6240903735160828},{"id":"https://openalex.org/keywords/spinning","display_name":"Spinning","score":0.5751650929450989},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5378434062004089},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4226216971874237},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4103464186191559},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.4040471911430359},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3879172205924988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3593791127204895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3263544738292694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2674892544746399},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17481833696365356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13019317388534546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11911562085151672},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09534555673599243}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8726012706756592},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8592288494110107},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7740260362625122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694467067718506},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6670898795127869},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6240903735160828},{"id":"https://openalex.org/C154815118","wikidata":"https://www.wikidata.org/wiki/Q453762","display_name":"Spinning","level":2,"score":0.5751650929450989},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5378434062004089},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4226216971874237},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4103464186191559},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4040471911430359},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3879172205924988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3593791127204895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3263544738292694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2674892544746399},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17481833696365356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13019317388534546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11911562085151672},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09534555673599243},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9858927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9858927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":12,"referenced_works":["https://openalex.org/W2025953558","https://openalex.org/W2101700394","https://openalex.org/W2741008920","https://openalex.org/W2793293836","https://openalex.org/W2917690002","https://openalex.org/W2941750291","https://openalex.org/W2976304245","https://openalex.org/W3034310863","https://openalex.org/W3035382196","https://openalex.org/W3113844551","https://openalex.org/W3171223006","https://openalex.org/W6749351619"],"related_works":["https://openalex.org/W2118338613","https://openalex.org/W2978432024","https://openalex.org/W1995805316","https://openalex.org/W3180760233","https://openalex.org/W2132019419","https://openalex.org/W1568381040","https://openalex.org/W1970394887","https://openalex.org/W2148203918","https://openalex.org/W2036477341","https://openalex.org/W2276828234"],"abstract_inverted_index":{"Point":[0],"clouds":[1],"captured":[2],"by":[3],"Light":[4],"Detection":[5],"And":[6],"Ranging":[7],"(Li-DAR)":[8],"devices":[9],"have":[10],"played":[11],"a":[12,52,70,86],"significant":[13],"role":[14],"in":[15,66],"autonomous":[16],"driving":[17],"and":[18,36,104,135,139],"high-precision":[19],"mapping.":[20],"The":[21],"massive":[22],"amount":[23],"of":[24,32,43,80,133],"point":[25,45,62,73],"cloud":[26,46,63,74],"data,":[27],"however,":[28],"challenges":[29],"the":[30,41,81,93,123],"capacity":[31],"current":[33],"data":[34],"storage":[35],"transmission":[37],"networks,":[38],"which":[39],"confines":[40],"development":[42],"LiDAR":[44,61,82],"applications.":[47],"To":[48],"alleviate":[49],"this":[50,67],"situation,":[51],"novel":[53],"grid-based":[54,72],"geometry":[55,95,99,113],"compression":[56],"framework":[57],"dedicated":[58,102],"to":[59,90,116],"spinning":[60],"is":[64,76,88],"proposed":[65,124],"paper.":[68],"Firstly,":[69],"2D":[71,98,112],"representation":[75],"built":[77],"taking":[78],"advantage":[79],"acquisition":[83],"pattern.":[84],"Then,":[85],"projection":[87],"performed":[89],"effectively":[91],"represent":[92],"3D":[94],"as":[96],"multiple":[97],"components.":[100],"Finally,":[101],"prediction":[103],"entropy":[105],"coding":[106,141],"methods":[107],"are":[108],"designed":[109],"for":[110,137],"each":[111],"component":[114],"according":[115],"its":[117],"characteristics.":[118],"Experimental":[119],"results":[120],"show":[121],"that":[122],"method":[125],"outperforms":[126],"MPEG":[127],"G-PCC":[128],"with":[129],"an":[130],"average":[131],"gain":[132],"18.81%":[134],"8.03%":[136],"lossy":[138],"lossless":[140],"respectively.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
