论文标题
使用Python中图像处理的情感检测
Emotion Detection using Image Processing in Python
论文作者
论文摘要
在这项工作中，将检测到用户使用面部表情的情感。这些表达式可以通过系统的摄像机或内存中可用的任何预看图像从实时饲料中得出。人类拥有的情绪可以得到认可，并且在计算机视觉行业中具有广泛的研究范围，已经进行了几项研究。这项工作是使用Python（2.7，开源计算机视觉库（OPENCV）和NUMPY进行的。扫描的图像（测试数据集）正在将其与培训数据集进行比较，因此可以预测情感。本文的目的是开发一个可以分析人的图像并预测该过程的系统。该过程证明该过程是可行的，并且可以可行，并且有效地结果。
In this work, user's emotion using its facial expressions will be detected. These expressions can be derived from the live feed via system's camera or any pre-exisiting image available in the memory. Emotions possessed by humans can be recognized and has a vast scope of study in the computer vision industry upon which several researches have already been done. The work has been implemented using Python (2.7, Open Source Computer Vision Library (OpenCV) and NumPy. The scanned image(testing dataset) is being compared to the training dataset and thus emotion is predicted. The objective of this paper is to develop a system which can analyze the image and predict the expression of the person. The study proves that this procedure is workable and produces valid results.
