{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:54:59Z","timestamp":1783526099147,"version":"3.55.0"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. IEEE"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1109\/jproc.2021.3085957","type":"journal-article","created":{"date-parts":[[2021,6,16]],"date-time":"2021-06-16T19:37:41Z","timestamp":1623872261000},"page":"1537-1558","source":"Crossref","is-referenced-by-count":76,"title":["Compression of Sparse and Dense Dynamic Point Clouds\u2014Methods and Standards"],"prefix":"10.1109","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5514-8772","authenticated-orcid":false,"given":"Chao","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Preda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vladyslav","family":"Zakharchenko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5312-7078","authenticated-orcid":false,"given":"Euee S.","family":"Jang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6589-1241","authenticated-orcid":false,"given":"Titus","family":"Zaharia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"ref72","article-title":"Towards neural network approaches for point cloud compression","volume":"11510","author":"alexiou","year":"2020","journal-title":"Proc SPIE"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191180"},{"key":"ref76","article-title":"8i voxelized full bodies&#x2014;A voxelized point cloud dataset","author":"d\u2019eon","year":"2017"},{"key":"ref77","article-title":"CGI-based dynamic point cloud test content","author":"ricard","year":"2017"},{"key":"ref74","year":"2015"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2543039"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/133994.134011"},{"key":"ref38","year":"2020"},{"key":"ref78","article-title":"Calculation of average PSNR differences between RD-curves","author":"bjontegaard","year":"2001"},{"key":"ref79","year":"2015"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/0734-189X(89)90041-8","article-title":"Fundamentals of digital image processing","volume":"46","author":"jain","year":"1989","journal-title":"Comput Vis Graph Image Process"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2230165"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2016.67"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICInfA.2017.8078873"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462684"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240696"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532583"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025414"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794264"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803413"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351061"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935253"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"ref64","article-title":"Improved deep point cloud geometry compression","author":"quach","year":"2020","journal-title":"arXiv 2006 09043"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461644"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/PCS48520.2019.8954537"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/EUVIP47703.2019.8946211"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238382"},{"key":"ref67","first-page":"1","article-title":"Learned point cloud geometry compression","author":"wang","year":"2019","journal-title":"arXiv 1909 12037"},{"key":"ref68","article-title":"Deep autoencoder-based lossy geometry compression for point clouds","author":"yan","year":"2019","journal-title":"arXiv 1905 03691"},{"key":"ref69","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1108590.1108593"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1187112.1187277"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2575005"},{"key":"ref22","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2699922"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383301"},{"key":"ref23","first-page":"103","article-title":"Compression of point-based 3D models by shape-adaptive wavelet coding of multi-height fields","author":"ochotta","year":"2004","journal-title":"Proc Symp Point-Based Graphics"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2003.1247038"},{"key":"ref25","first-page":"146","article-title":"Multi-chart geometry images","volume":"255","author":"sander","year":"2003","journal-title":"Proc SGP Eurograph \/ACM SIGGRAPH Symp Geom Process"},{"key":"ref50","first-page":"772","article-title":"A real-time data compression for ground-based 3D LIDAR data using wavelets and compressive sensing","author":"im","year":"2010","journal-title":"Proc SCIS ISIS"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.79.2.209"},{"key":"ref90","year":"2021","journal-title":"Draco"},{"key":"ref59","first-page":"781","volume":"10433","author":"matejek","year":"2017","journal-title":"Compresso Efficient Compression of Segmentation Data for Connectomics"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s41064-016-0003-y"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759050"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2900747"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995959"},{"key":"ref54","first-page":"1712","article-title":"Compressing continuous point cloud data using image compression methods","author":"tu","year":"2016","journal-title":"Proc IEEE 19th Int Conf Intell Transp Syst (ITSC)"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-2-W4-99-2017"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2015.05.007"},{"key":"ref10","article-title":"Octree-based progressive geometry coding of point clouds","author":"huang","year":"2006","journal-title":"Proc Eurographics Symp Point-Based Graph"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2007.70441"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354093"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094577"},{"key":"ref13","author":"theodoridis","year":"2006","journal-title":"Pattern Recognition"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2013.6694334"},{"key":"ref15","first-page":"95","article-title":"Progressive compression of point-sampled models","author":"waschb\u00fcsch","year":"2004","journal-title":"Proc Eurographics Symp Point-Based Graph"},{"key":"ref82","first-page":"1","volume":"5","year":"2002","journal-title":"Parameter Values for the HDTV Standards for Production and International Programme Exchange BT Series Broadcasting Service"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486481"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803233"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351401"},{"key":"ref84","year":"2021","journal-title":"3D Models\/Point Clouds\/Meshes"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2707807"},{"key":"ref83","author":"tulvan","year":"2016","journal-title":"Datasets Update on Point-Cloud Compression for Cultural Objects"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025414"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2931621"},{"key":"ref89","author":"cohen","year":"2017","journal-title":"Mobile Mapping System Point Cloud Data From Mitisubishi Electric"},{"key":"ref4","first-page":"53","article-title":"Efficient high quality rendering of point sampled geometry","author":"botsch","year":"2002","journal-title":"Proc 13th Eurograph Workshop Rendering"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566591"},{"key":"ref6","first-page":"1","article-title":"Attribute compression of 3D point clouds using Laplacian sparsity optimized graph transform","author":"shao","year":"2018","journal-title":"Proc VCIP"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073237"},{"key":"ref85","author":"guillaume","year":"2017","journal-title":"ULB Unicorn Photogrammetric Point Cloud Data"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451802"},{"key":"ref86","year":"0","journal-title":"Vol 2 Dataset"},{"key":"ref7","first-page":"111","article-title":"Octree-based point-cloud compression","author":"schnabel","year":"2006","journal-title":"Proc SPBG"},{"key":"ref49","year":"2018","journal-title":"LiDAR Compressor"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911400640"},{"key":"ref88","year":"2018","journal-title":"BlackBerry Limited and QNX Software Systems Limited Content Provided to MPEG"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-013-9354-z"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2529506"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296514"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/URS.2009.5137589"},{"key":"ref47","year":"2017","journal-title":"Elect"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1117\/12.57955"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-009-0367-8"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224647"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2003.1211340"}],"container-title":["Proceedings of the IEEE"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5\/9518289\/09457097.pdf?arnumber=9457097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T20:40:36Z","timestamp":1635799236000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9457097\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":90,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/jproc.2021.3085957","relation":{},"ISSN":["0018-9219","1558-2256"],"issn-type":[{"value":"0018-9219","type":"print"},{"value":"1558-2256","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9]]}}}