Invariant Gaussian–Hermite Moments Based Neural Networks for 3D Object Classification-Reference-Cited by-同舟云学术

Invariant Gaussian–Hermite Moments Based Neural Networks for 3D Object Classification

Published:2020-01 Issue:1 Volume:30 Page:87-96
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Zouhri Amal,Amakdouf Hicham,El Mallahi Mostafa,Tahiri Ahmed,Lakhliai Zakia,Chenouni Driss,Qjidaa Hassan

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661820010186.pdf

Reference29 articles.

1. B. Yang and M. Dai, “Image analysis by Gaussian–Hermite moments,” Signal Process. 91 (10), 2290–2303 (2011).

2. M. El Mallahi, A. Mesbah, H. El Fadili, K. Zenkouar, and H. Qjidaa, “Compact computation of Tchebichef moments for 3D object representation,” WSEAS Trans. Circuits Syst. 13, 368–380 (2014).

3. M. El Mallahi, A. Mesbah, H. Qjidaa, K. Zenkouar, and H. El Fadili, “Translation and scale invariants of three-dimensional Tchebichef moments,” in 2015 Intelligent Systems and Computer Vision (ISCV’15) (Fez, Morocco, 2015), IEEE, pp. 1–5.

4. M. El Mallahi, A. Mesbah, H. Qjidaa, A. Berrahou, K. Zenkouar, and H. El Fadili, “Volumetric image reconstruction by 3D Hahn moments,” in Proc. 2015 IEEE/ACS 12th International Conference on Computer Systems and Applications (AICCSA) (Marrakech, Morocco, 2015), IEEE, pp. 1–8.

5. M. El Mallahi, A. Zouhri, A. Mesbah, and H. Qjidaa, “3D radial invariant of dual Hahn moments,” Neural Comput. Appl. 30 (7), 2283–2294 (2018).

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