3D Shape Classification Using 3D Discrete Moments and Deep Neural Networks-Reference-Cited by-同舟云学术

3D Shape Classification Using 3D Discrete Moments and Deep Neural Networks

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Networking, Information Systems & Security - NISS19
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Author:

Lakhili Zouhir¹,El Alami Abdelmajid¹,Mesbah Abderrahim¹,Berrahou Aissam²,Qjidaa Hassan¹

Affiliation:

1. Sidi Mohamed Ben Abdellah University, Fez, Morocco

2. Mohammed V University, Rabat, Morocco

Publisher

ACM Press

Reference26 articles.

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2. Belkasim, S. O., Shridhar, M, and Ahmadi, M. 1991. Pattern recognition with moment invariants: A comparative study and new results. Pattern Recognition. 24,12, 1117--1138.

3. Flusser, J. and Suk, T. 1993. Pattern recognition by affine moment invariants. Pattern Recognition. 26, 1, 167--174.

4. Ding, H. S. and Tsai, W. H. 1993. Moment-preserving edge detection and its application to image data compression. Optical Engineering. 32, 7, 1596--1608.

5. Zhu, H., Shu, H., Zhou, J., Luo, L., and Coatrieux, J. L. 2007 Image analysis by discrete orthogonal dual Hahn moments. Pattern Recognition Letters. 28, 13, 1688--1704.

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