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

机译:支持向量机的人脸识别和人脸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:该研究提出了一种基于面部特征及其动作的实时面部识别和面部情感检测系统的框架。面部的关键元素被认为是面部表情和用户的预测对象。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集来识别和分类不同类别的面部表情。在这种情况下,通过在本文中实施算法,将有助于识别,心理研究和许多现实问题的多个领域。所提出的算法是使用开源计算机视觉(OpenCV)和python机器学习实现的。

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