OpenCV and Python for Emotion Analysis of Face Expressions

MD Khadimul Islam Zim
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引用次数: 0

Abstract

If someone showed you a picture of themselves and asked you to describe how they feel, you'd probably have a good idea. Think about how useful it would be if your computer could do that! But what if you could enhance the things you have? It seems like a completely absurd idea. In the past, it was easy to infer a person's emotional state simply by observing their face. However, it is much more challenging for a computer to perform this task. Emotion recognition in photographs is now feasible with the help of machine learning and computer vision. Facial expression recognition is a growing subset of the field of facial recognition. Despite the fact that there are methods that use machine learning and artificial intelligence to accomplish the same goals, this work attempts to use the OpenCV approach to recognise expressions and classify the expressions based on the photos.
基于OpenCV和Python的面部表情情感分析
如果有人给你看他们自己的照片,让你描述一下他们的感受,你可能会有一个好主意。想想看,如果你的电脑能做到这一点,那该有多有用啊!但是如果你能增强你所拥有的东西呢?这似乎是一个完全荒谬的想法。在过去,仅仅通过观察一个人的脸就可以很容易地推断出他的情绪状态。然而,对于计算机来说,执行这项任务更具挑战性。在机器学习和计算机视觉的帮助下,照片中的情感识别现在是可行的。面部表情识别是人脸识别领域的一个新兴分支。尽管有一些方法使用机器学习和人工智能来实现相同的目标,但这项工作试图使用OpenCV方法来识别表情并根据照片对表情进行分类。
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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