A Robust Method for Face Recognition and Face Emotion Detection System using Support Vector Machines

被引：0
作者：
Rajesh, K. M. [1 ]
Naveenkumar, M. [1 ]
机构：
[1] Siddaganga Inst Technol, Dept Telecommun, Tumkur, India
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER AND OPTIMIZATION TECHNIQUES (ICEECCOT) | 2016年
关键词：
Face recognition; Fisherface; Support vector machine; dlib;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
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.
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页码：1 / 5
页数：5
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