中文说明：面部微表情包含有关于人们如何感觉 不能信息，甚至当他们在—诱惑着隐藏自己的情绪。以前，很少有研究已经完成，以检测和识别使用计算机视觉方法的微表情。在这段代码中，实现了从自发的微表情数据库的检测与分类 阳离子微表情，经过预处理和使用Haar特征的原始图像裁剪，利用局部二元模式在三个正交平面（LBP-TOP）和局部灰度编码方式对三个正交平面（lgcp-top）描述符和支持向量机（SVM）作为检测和识别算法。结果显示精度相媲美的其他工作。
English Description：
Facial micro-expressions contain signi cant information about how people feel, even when they are at- tempting to conceal their emotions. Previously, very little research has been done to detect and recognize micro-expressions using computer vision methods. In this code, detection and classi cation of microexpressions from the Spontaneous Micro-Expression database were implemented, following preprocessing and cropping of raw images using Haar features, using local binary patterns on three orthogonal planes (LBP-TOP) and local gray code patterns on three orthogonal planes (LGCP-TOP) as descriptors and support vector machines (SVMs) as detection and recognition algorithms. Results show accuracy comparable to other work.