Quaternion discrete orthogonal Hahn moments convolutional neural network for color image classification and face recognition-Reference-Cited by-同舟云学术

Quaternion discrete orthogonal Hahn moments convolutional neural network for color image classification and face recognition

Published:2023-03-02 Issue:21 Volume:82 Page:32827-32853
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

El Alami Abdelmajid^ORCID,Mesbah Abderrahim,Berrahou Nadia,Lakhili Zouhir,Berrahou Aissam,Qjidaa Hassan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14866-4.pdf

Reference59 articles.

1. Bharati P, Pramanik A (2020) Deep learning techniques—R-CNN to mask R-CNN: A survey. In: Computational intelligence in pattern recognition. https://doi.org/10.1007/978-981-13-9042-5_56. Springer, Singapore, pp 999:657–668

2. Brandoni D, Simoncini V (2020) Tensor-train decomposition for image recognition. Calcolo 57(1):9. https://doi.org/10.1007/s10092-020-0358-8

3. Cao Z, Hidalgo G, Simon T, Wei S E, Sheikh Y (2019) Openpose:realtime multi-person 2D pose estimation using Part Affinity Fields. IEEE Trans Pattern Anal Mach Intell 43(1):172–186

4. Chen BJ, Shu HZ, Zhang H, Chen G, Toumoulin C, Dillenseger JL, Luo LM (2012) Quaternion Zernike moments and their invariants for color image analysis and object recognition. Signal Process 92(2): 308–318. https://doi.org/10.1016/j.sigpro.2011.07.018

5. Clevert DA, Unterthiner T, Hochreiter S (2015) Fast and accurate deep network learning by exponential linear units (elus). In: Published as a conference paper at ICLR, 2016. https://arxiv.org/abs/1511.07289