{"id":"https://openalex.org/W4387777187","doi":"https://doi.org/10.3390/a16100484","title":"TransPCGC: Point Cloud Geometry Compression Based on Transformers","display_name":"TransPCGC: Point Cloud Geometry Compression Based on Transformers","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387777187","doi":"https://doi.org/10.3390/a16100484"},"language":"en","primary_location":{"id":"doi:10.3390/a16100484","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100484","pdf_url":"https://www.mdpi.com/1999-4893/16/10/484/pdf?version=1697680970","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/10/484/pdf?version=1697680970","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080573907","display_name":"Shiyu Lu","orcid":"https://orcid.org/0009-0006-7961-7709"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Lu","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026568996","display_name":"Huamin Yang","orcid":"https://orcid.org/0000-0003-1299-7891"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huamin Yang","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101934025","display_name":"Cheng Han","orcid":"https://orcid.org/0000-0003-3735-0162"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Han","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026568996"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.4325,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57091162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"16","issue":"10","first_page":"484","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7977701425552368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492411136627197},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6235787868499756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.524064302444458},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4731501340866089},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4583231210708618},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4390367269515991},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41273725032806396},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39799895882606506},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3673354387283325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2580084204673767},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.22364604473114014},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1236906349658966}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7977701425552368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492411136627197},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6235787868499756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.524064302444458},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4731501340866089},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4583231210708618},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4390367269515991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41273725032806396},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39799895882606506},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3673354387283325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2580084204673767},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.22364604473114014},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1236906349658966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a16100484","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100484","pdf_url":"https://www.mdpi.com/1999-4893/16/10/484/pdf?version=1697680970","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f29805833a3545ce86ce07c64be7a55e","is_oa":true,"landing_page_url":"https://doaj.org/article/f29805833a3545ce86ce07c64be7a55e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 10, p 484 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a16100484","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100484","pdf_url":"https://www.mdpi.com/1999-4893/16/10/484/pdf?version=1697680970","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387777187.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W2152864241","https://openalex.org/W2559882727","https://openalex.org/W2603429625","https://openalex.org/W2624503621","https://openalex.org/W2896457183","https://openalex.org/W2922745530","https://openalex.org/W2976304245","https://openalex.org/W2982170926","https://openalex.org/W3035428054","https://openalex.org/W3046961466","https://openalex.org/W3098518823","https://openalex.org/W3099936357","https://openalex.org/W3105126405","https://openalex.org/W3113844551","https://openalex.org/W3123439143","https://openalex.org/W3129486620","https://openalex.org/W3131242954","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3159975835","https://openalex.org/W3162090017","https://openalex.org/W3175145712","https://openalex.org/W3179630053","https://openalex.org/W3180196270","https://openalex.org/W3185759054","https://openalex.org/W3205005447","https://openalex.org/W3205122979","https://openalex.org/W4200466965","https://openalex.org/W4205852321","https://openalex.org/W4210344621","https://openalex.org/W4210829119","https://openalex.org/W4210885896","https://openalex.org/W4214624153","https://openalex.org/W4214755140","https://openalex.org/W4221162708","https://openalex.org/W4283368407","https://openalex.org/W4286285655","https://openalex.org/W4288089799","https://openalex.org/W4292779060","https://openalex.org/W4297330754","https://openalex.org/W4306175953","https://openalex.org/W4308205555","https://openalex.org/W4309457221","https://openalex.org/W4310591442","https://openalex.org/W4312616477","https://openalex.org/W4312709167","https://openalex.org/W4312820606","https://openalex.org/W4312878643","https://openalex.org/W4313145913","https://openalex.org/W4317794929","https://openalex.org/W4379985413","https://openalex.org/W4387765870","https://openalex.org/W6640300118","https://openalex.org/W6763509872","https://openalex.org/W6769627184","https://openalex.org/W6778883912","https://openalex.org/W6785392533","https://openalex.org/W6804029310","https://openalex.org/W6807511073","https://openalex.org/W6846166657"],"related_works":["https://openalex.org/W624280404","https://openalex.org/W2207317090","https://openalex.org/W2129557050","https://openalex.org/W4200153455","https://openalex.org/W3033917396","https://openalex.org/W3003571078","https://openalex.org/W2186754325","https://openalex.org/W4322614724","https://openalex.org/W4300548572","https://openalex.org/W2552401318"],"abstract_inverted_index":{"Due":[0],"to":[1,69,83,185,194],"the":[2,7,32,88,133,137,143,149,165,168,195],"often":[3],"substantial":[4,157],"size":[5],"of":[6,34,92,136,145,167,180,205],"real-world":[8],"point":[9,39,47,64,89,138,151],"cloud":[10,21,40,48,65,152],"data,":[11],"efficient":[12],"transmission":[13],"and":[14,73,118,182,207,219],"storage":[15],"have":[16],"become":[17],"critical":[18],"concerns.":[19],"Point":[20,187],"compression":[22,49,66],"plays":[23],"a":[24,79,93,102,156,214,224],"decisive":[25],"role":[26],"in":[27,155,159,192,217,227],"addressing":[28],"these":[29],"challenges.":[30],"Recognizing":[31],"importance":[33],"capturing":[35],"global":[36,72,110],"information":[37],"within":[38],"data":[41],"for":[42,105,125],"effective":[43],"compression,":[44],"many":[45],"existing":[46],"methods":[50],"overlook":[51],"this":[52,57],"crucial":[53],"aspect.":[54],"To":[55],"tackle":[56],"oversight,":[58],"we":[59,121],"propose":[60],"an":[61,201],"innovative":[62],"end-to-end":[63],"method":[67,77],"designed":[68],"extract":[70,84],"both":[71,116],"local":[74],"information.":[75],"Our":[76,161],"includes":[78],"novel":[80],"Transformer":[81],"module":[82],"rich":[85],"features":[86],"from":[87,148],"cloud.":[90],"Utilization":[91],"pooling":[94],"operation":[95],"that":[96],"requires":[97],"no":[98],"learnable":[99],"parameters":[100],"as":[101],"token":[103],"mixer":[104],"computing":[106],"long-distance":[107],"dependencies":[108],"ensures":[109],"feature":[111,126],"extraction":[112],"while":[113],"significantly":[114],"reducing":[115],"computations":[117],"parameters.":[119,160],"Furthermore,":[120],"employ":[122],"convolutional":[123],"layers":[124,129],"extraction.":[127],"These":[128],"not":[130],"only":[131],"preserve":[132],"spatial":[134],"structure":[135],"cloud,":[139],"but":[140],"also":[141],"offer":[142],"advantage":[144],"parameter":[146],"independence":[147],"input":[150],"size,":[153],"resulting":[154],"reduction":[158,216,226],"experimental":[162],"results":[163],"demonstrate":[164],"effectiveness":[166],"proposed":[169],"TransPCGC":[170],"network.":[171],"It":[172],"achieves":[173],"average":[174,202],"Bjontegaard":[175],"Delta":[176],"Rate":[177],"(BD-Rate)":[178],"gains":[179],"85.79%":[181],"80.24%":[183],"compared":[184],"Geometry-based":[186],"Cloud":[188],"Compression":[189],"(G-PCC).":[190],"Additionally,":[191],"comparison":[193],"Learned-PCGC":[196],"network,":[197],"our":[198],"approach":[199],"attains":[200],"BD-Rate":[203],"gain":[204],"18.26%":[206],"13.83%.":[208],"Moreover,":[209],"it":[210],"is":[211],"accompanied":[212],"by":[213],"16%":[215],"encoding":[218],"decoding":[220],"time,":[221],"along":[222],"with":[223],"50%":[225],"model":[228],"size.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
