一种基于HMM的面部表情识别优化方法

2015 International Conference on Signal Processing and Communication Engineering Systems Pub Date : 2015-03-12 DOI:10.1109/SPACES.2015.7058210

D. Devi, M. Rao

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引用次数: 1

摘要

人机交互是计算机科学的一个新兴领域，其中计算机视觉尤其是面部表情识别占有重要地位。解决这一问题的方法有很多，HMM是其中相当重要的一种。本文的目标是在状态数的使用和HMM运行时的时间复杂度两个方面实现优化。它还专注于实现并行处理，旨在同时处理多个图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel method to achieve optimization in facial expression recognition using HMM

Human-Computer Interaction is an emerging field of Computer Science where, Computer Vision, especially facial expression recognition occupies an essential role. There are so many approaches to resolve this problem, among them HMM is a considerable one. This paper aims to achieve optimization in both, the usage of number of states and the time complexity of HMM runtime. It also focusses to enable parallel processing which aims to process more than one image simultaneously.

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2015 International Conference on Signal Processing and Communication Engineering Systems

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