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A robust method for face recognition and face emotion detection system using support vector machines

机译:一种使用支持​​向量机的面部识别和面部情感检测系统的鲁棒方法

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摘要

This research presents framework for real time face recognition and face emotion detection system based on facial features and their actions. The key elements of Face are considered for prediction of face emotions and the user. The variations in each facial feature are used to determine the different emotions of face. Machine learning algorithms are used for recognition and classification of different classes of face emotions by training of different set of images. In this context, by implementing herein algorithms would contribute in several areas of identification, psychological researches and many real world problems. The proposed algorithm is implemented using open source computer vision (OpenCV) and Machine learning with python.
机译:本研究提出了基于面部特征及其行动的实时面部识别和面部情感检测系统的框架。面部的关键要素被认为是对面部情绪和用户的预测。每个面部特征的变化用于确定面部的不同情绪。机器学习算法用于通过训练不同的图像训练来识别和分类不同类别情绪。在这种情况下,通过实施本文,算法将在识别,心理研究和许多现实世界问题中有助于贡献。所提出的算法是使用开源计算机视觉(OpenCV)和使用Python的机器学习来实现的。

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