Differential Evolution to Optimize Hidden Markov Models Training: Application to Facial Expression Recognition

CIT. Journal of Computing and Information Technology

Ghanem, Khadoudja¹  Simbabawe, Arsène¹  Draa, Amer¹  Vyumvuhore, Elvis¹ 

[1] MISC Laboratory, Constantine 2 University, Constantine, Algeria

关键词: facial expressions;    occurrence order;    Hidden Markov Model;    Baum-Welch;    optimization;    differential evolution;   

DOI  :  

学科分类：计算机科学（综合）

来源: Sveuciliste u Zagrebu

【 摘 要 】

The base system in this paper uses Hidden Markov Models (HMMs) to model dynamic relationships among facial features in facial behavior interpretation and understanding field. The input of HMMs is a new set of derived features from...

【 授权许可】

Unknown