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Experimental Evaluation of Point Cloud Classification using the PointNet Neural Network

Topics: Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World applications, Financial Applications, Neural Prostheses and Medical Applications, Neural based Data Mining and Complex Information Proces; Deep Learning

Authors: Marko Filipović ; Petra Ðurović and Robert Cupec

Affiliation: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, J. J. Strossmayer University, 31000 Osijek and Croatia

ISBN: 978-989-758-327-8

Keyword(s): Point Cloud, Point Set, Point Cloud Classification, PointNet, RGB-D, Depth Map.

Abstract: Recently, new approaches for deep learning on unorganized point clouds have been proposed. Previous approaches used multiview 2D convolutional neural networks, volumetric representations or spectral convolutional networks on meshes (graphs). On the other hand, deep learning on point sets hasn’t yet reached the “maturity” of deep learning on RGB images. To the best of our knowledge, most of the point cloud classification approaches in the literature were based either only on synthetic models, or on a limited set of views from depth sensors. In this experimental work, we use a recent PointNet deep neural network architecture to reach the same or better level of performance as specialized hand-designed descriptors on a difficult dataset of non-synthetic depth images of small household objects. We train the model on synthetically generated views of 3D models of objects, and test it on real depth images.

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Paper citation in several formats:
Filipović, M.; Ðurović, P. and Cupec, R. (2018). Experimental Evaluation of Point Cloud Classification using the PointNet Neural Network.In Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-327-8, pages 47-54. DOI: 10.5220/0006889200470054

@conference{ijcci18,
author={Marko Filipović. and Petra Ðurović. and Robert Cupec.},
title={Experimental Evaluation of Point Cloud Classification using the PointNet Neural Network},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2018},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006889200470054},
isbn={978-989-758-327-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Experimental Evaluation of Point Cloud Classification using the PointNet Neural Network
SN - 978-989-758-327-8
AU - Filipović, M.
AU - Ðurović, P.
AU - Cupec, R.
PY - 2018
SP - 47
EP - 54
DO - 10.5220/0006889200470054

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