{"id":"https://openalex.org/W3162685198","doi":"https://doi.org/10.1109/icassp39728.2021.9413902","title":"G-Arrays: Geometric Arrays for Efficient Point Cloud Processing","display_name":"G-Arrays: Geometric Arrays for Efficient Point Cloud Processing","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3162685198","doi":"https://doi.org/10.1109/icassp39728.2021.9413902","mag":"3162685198"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5036519999","display_name":"Hoda Roodaki","orcid":"https://orcid.org/0000-0002-3575-0587"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hoda Roodaki","raw_affiliation_strings":["K. N. Toosi University of Technology"],"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049706564","display_name":"Masoud Dehyadegari","orcid":"https://orcid.org/0000-0002-9473-5459"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Dehyadegari","raw_affiliation_strings":["K. N. Toosi University of Technology"],"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071802262","display_name":"Mahdi Nazm Bojnordi","orcid":"https://orcid.org/0000-0002-1496-5650"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Nazm Bojnordi","raw_affiliation_strings":["University of Utah,School of Computing","School of Computing, University of Utah"],"affiliations":[{"raw_affiliation_string":"University of Utah,School of Computing","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"School of Computing, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036519999"],"corresponding_institution_ids":["https://openalex.org/I80543232"],"apc_list":null,"apc_paid":null,"fwci":1.401,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7795378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1925","last_page":"1929"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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":0.9991000294685364,"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":0.8469469547271729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8290245532989502},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.7298120856285095},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6087926030158997},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4773067235946655},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.47610387206077576},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4469015598297119},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.44281908869743347},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42768383026123047},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4261905252933502},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4245983958244324},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4180837869644165},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35968148708343506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28730714321136475},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.262607216835022},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.18692415952682495},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.10291507840156555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10245281457901001}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8469469547271729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290245532989502},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.7298120856285095},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6087926030158997},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4773067235946655},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.47610387206077576},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4469015598297119},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.44281908869743347},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42768383026123047},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4261905252933502},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4245983958244324},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4180837869644165},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35968148708343506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28730714321136475},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.262607216835022},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.18692415952682495},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.10291507840156555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10245281457901001},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W1529450504","https://openalex.org/W1997917718","https://openalex.org/W2074954154","https://openalex.org/W2167724667","https://openalex.org/W2319503556","https://openalex.org/W2793293836","https://openalex.org/W2798297823","https://openalex.org/W2799179991","https://openalex.org/W2894705404","https://openalex.org/W2904893792","https://openalex.org/W2905544027","https://openalex.org/W2916707431","https://openalex.org/W2962887844","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W3014200484","https://openalex.org/W3042865289","https://openalex.org/W3100220783","https://openalex.org/W3100379301","https://openalex.org/W3117804044","https://openalex.org/W3122159272","https://openalex.org/W6631686956"],"related_works":["https://openalex.org/W2392034603","https://openalex.org/W2352029666","https://openalex.org/W4200108838","https://openalex.org/W1491293736","https://openalex.org/W2135368250","https://openalex.org/W1981792202","https://openalex.org/W4248699882","https://openalex.org/W1975879240","https://openalex.org/W4205566295","https://openalex.org/W1883792959"],"abstract_inverted_index":{"With":[0],"the":[1,8,12,30,37,74,95,100,113,135,140],"increasing":[2],"demand":[3],"for":[4,22,41,60,82],"3D":[5,13,24,34],"modeling":[6],"by":[7,105],"emerging":[9],"immersive":[10],"applications,":[11],"point":[14,44,62,87,121],"cloud":[15,45,88],"has":[16],"become":[17],"an":[18],"essential":[19],"representation":[20],"format":[21,79],"processing":[23,46],"images":[25],"and":[26,36,69,103,124],"video.":[27],"Because":[28],"of":[29],"inherent":[31],"sparsity":[32],"in":[33,85,130,139],"data":[35,58,115],"significant":[38],"memory":[39,67,131],"requirements":[40],"representing":[42,61],"points,":[43],"is":[47,80],"a":[48,56,65,70],"challenging":[49],"task.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"novel":[57],"structure":[59,116,137],"clouds":[63],"with":[64],"reduced":[66],"requirement":[68],"faster":[71,120],"lookup":[72,122],"than":[73,126],"state-of-the-art":[75],"formats.":[76],"The":[77],"proposed":[78,96,114],"examined":[81],"temporal":[83,97],"encoding":[84],"geometric":[86],"compression.":[89],"Our":[90],"simulation":[91],"results":[92],"show":[93],"that":[94],"prediction":[98],"enhances":[99],"compression":[101],"rate":[102],"quality":[104],"13-33%":[106],"as":[107],"compared":[108,133],"to":[109,134],"MPEG":[110,141],"G-PCC.":[111,142],"Moreover,":[112],"provides":[117],"16-54":[118],"\u00d7":[119,128],"operations":[123],"more":[125],"1.4":[127],"reduction":[129],"consumption":[132],"octree":[136],"used":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
