{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T02:20:41Z","timestamp":1778638841543,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/icsenst.2018.8603642","type":"proceedings-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T02:49:59Z","timestamp":1548298199000},"page":"160-165","source":"Crossref","is-referenced-by-count":4,"title":["Convolutional Neural Networks for 3D Vision System Data : A review"],"prefix":"10.1109","author":[{"given":"Niall","family":"OrMahony","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sean","family":"Campbell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lenka","family":"Krpalkova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anderson","family":"Carvalho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo Adolfo","family":"Velasco-Hernandez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Riordan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph","family":"Walsh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","author":"dai","year":"2017","journal-title":"Scannet Richly-annotated 3d reconstructions of indoor scenes"},{"key":"ref11","author":"su","year":"0","journal-title":"Multi-view convolutional neural networks for 3d shape recognition"},{"key":"ref12","author":"kalogerakis","year":"0","journal-title":"3d shape segmentation with projective convolutional networks"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00409"},{"key":"ref14","article-title":"OctNet: Learning Deep 3D Representations at High Resolutions","author":"riegler","year":"2016","journal-title":"arXiv Prepr arXiv1611 05009v4"},{"key":"ref15","article-title":"VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection","author":"zhou","year":"2017"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1145\/3072959.3073608","article-title":"O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis","author":"wang","year":"2017"},{"key":"ref17","author":"qi","year":"0","journal-title":"Pointnet Deep learning on point sets for 3d classification and segmentation"},{"key":"ref18","article-title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","author":"qi","year":"2017","journal-title":"arXiv Prepr arXiv1706 02413v1"},{"key":"ref19","author":"klokov","year":"2017","journal-title":"Escape from Cells Deep Kd-Networks for The Recognition of 3D Point Cloud Models"},{"key":"ref4","article-title":"A guide to receptive field arithmetic for Convolutional Neural Networks","year":"0"},{"key":"ref27","year":"0","journal-title":"ShapeNet"},{"key":"ref3","article-title":"A guide to convolution arithmetic for deep learning","author":"dumoulin","year":"2018"},{"key":"ref6","author":"tran","year":"0","journal-title":"Learning spatiotemporal features with 3d convolutional networks"},{"key":"ref5","author":"deshpande","year":"0","journal-title":"A Beginner&#x2019;s Guide To Understanding Convolutional Neural Networks &#x2013; Adit Deshpande &#x2013; CS Undergrad at UCLA (&#x2018;19)"},{"key":"ref8","article-title":"A Review on Deep Learning Techniques Applied to Semantic Segmentation","author":"garcia-garcia","year":"2017","journal-title":"arXiv Prepr arXiv1704 06857v1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8348671"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0090-8"},{"key":"ref1","year":"2006","journal-title":"3-dimensional surface imaging using Active Wavefront Sampling"},{"key":"ref20","author":"gadelha","year":"0","journal-title":"Multiresolution Tree Networks for 3D Point Cloud Processing"},{"key":"ref22","article-title":"Point Convolutional Neural Networks by Extension Operators","author":"atzmon","year":"2018","journal-title":"arXiv Prepr arXiv1803 10091v1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00268"},{"key":"ref24","author":"yi","year":"2016","journal-title":"SyncSpecCNN Synchronized spectral CNN for 3D shape segmentation"},{"key":"ref23","author":"li","year":"2018","journal-title":"PointCNN"},{"key":"ref26","year":"0","journal-title":"The Princeton ModelNet"},{"key":"ref25","author":"shao","year":"0","journal-title":"H-CNN Spatial Hashing Based CNN for 3D Shape Analysis"}],"event":{"name":"2018 12th International Conference on Sensing Technology (ICST)","location":"Limerick","start":{"date-parts":[[2018,12,4]]},"end":{"date-parts":[[2018,12,6]]}},"container-title":["2018 12th International Conference on Sensing Technology (ICST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8589964\/8603546\/08603642.pdf?arnumber=8603642","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T02:24:44Z","timestamp":1598235884000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8603642\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icsenst.2018.8603642","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}