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完整的表情识别系统一般包括人脸表情图像捕获、预处理、人脸检测与定位、
人脸分割与归一化、人脸表情特征提取、人脸表情识别。本文着重研究了人脸表
情特征提取、特征选择及表情分类等关键问题，并提出了一些改进的方法，同时
进行了仿真实验-Complete expression recognition systems typically include facial expression image capture, preprocessing, face detection and loca
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aleix@ecn.
Semantic queries to a database of images are more
desirable than low-level feature queries, because they
facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of
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用于人脸识别，较好的检测库，在面部表情的识别以及面部的光亮都有变化(For face recognition, better detection library, facial expression recognition and facial brightness change)
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This paper is untitled High-Fidelity Pose and Expression Normalization for Face Recognition
in the Wild
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值班人员状态检测，对于人脸识别，可疑表情识别，瞌睡识别等有一定的参考价值，是文档哦，很不错的论文(The inspection of the duty personnel has certain reference value for face recognition, suspicious expression recognition, sleepy recognition, etc. it is a document, oh, a very good paper.)
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