Research on Face Image Noise Processing Technology Based on Computer Vision Processing-Reference-Cited by-同舟云学术

Research on Face Image Noise Processing Technology Based on Computer Vision Processing

Published:2020-09-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education
language:
Short-container-title:

Author:

Nie Xin¹,Liu Gang²

Affiliation:

1. School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan, China

2. School of Computer Science, Hubei University of Technology, Wuhan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3419635.3419672

Reference6 articles.

1. Study on an Improved Restricting Algorithm Used in Face Image

2. Lu Zhenyu Zhang Linghua & He Jueshan. Face recognition algorithm based on discriminative dictionary learning and regularized robust coding. journal of nanjing university of information science & technology vol. 15 pp. 1292--1304 May 2015. Lu Zhenyu Zhang Linghua & He Jueshan. Face recognition algorithm based on discriminative dictionary learning and regularized robust coding. journal of nanjing university of information science & technology vol. 15 pp. 1292--1304 May 2015.

3. Subclass representation‐based face‐recognition algorithm derived from the structure scatter of training samples

4. Li G. Zhou B. & Su Y. N. Face recognition algorithm using two dimensional locality preserving projection in discrete wavelet domain. Open Automation & Control Systems Journal vo.17 pp. 1721--1728 January 2015. Li G. Zhou B. & Su Y. N. Face recognition algorithm using two dimensional locality preserving projection in discrete wavelet domain. Open Automation & Control Systems Journal vo.17 pp. 1721--1728 January 2015.

5. Design of Face Recognition and Tracking System by Using RBFNNs Pattern Classifier with Object Tracking Algorithm