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Feature descriptor for robust facial expression recognition

机译:强大的面部表情识别功能描述符

摘要

A method and system for generating a feature descriptor for robust facial expression recognition pre-processes a facial image using a Gaussian filter to smooth the facial image. Then, gradient based images at M scales and N orientations are generated from the pre-processed facial image. Further, a portion of an image corresponding to each action unit is selected from each of the gradient based images. Thereafter, appearance of at least one facial event in the selected portion of the image is captured. Also, a geometry of the at least one facial event in the selected portion of image is determined to obtain a feature descriptor for each action unit for robust facial expression recognition.
机译:用于生成用于鲁棒面部表情识别的特征描述符的方法和系统使用高斯滤波器对面部图像进行预处理以平滑面部图像。然后,从预处理的面部图像生成M比例和N方向的基于梯度的图像。此外,从每个基于梯度的图像中选择与每个动作单元相对应的图像的一部分。此后,捕获图像的所选部分中至少一个面部事件的出现。同样,确定图像的所选部分中的至少一个面部事件的几何形状,以获得用于每个动作单元的特征描述符,以进行鲁棒的面部表情识别。

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