Description and classification of face images is a significant task of computer vision, machine learning and pattern recognition communities. In the past, researchers have made tremendous efforts in this task. Previous researchers always seek high-resolution face images for better image classification. However, with this paper, we present and demonstrate a new opinion that in some cases the use of alternative representations of facial images are very useful for face recognition and properly reducing the image resolution might be beneficial to better classification of face images. This may be attributed to the deformable property of faces and the fact that the proposed alternative representations can in some extent reduce the within-class difference of facial images. Also, the presented idea appear to be useful for helping people to improve face recognition techniques in real worlds.

中文翻译：

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探索用于面部识别的面部图像的替代表示

人脸图像的描述和分类是计算机视觉，机器学习和模式识别社区的一项重要任务。过去，研究人员为此付出了巨大的努力。以前的研究人员一直在寻找高分辨率的人脸图像，以实现更好的图像分类。然而，在本文中，我们提出并证明了一种新观点，即在某些情况下使用面部图像的替代表示对于面部识别非常有用，适当降低图像分辨率可能有助于更好地分类面部图像。这可能归因于面部的可变形特性以及所提出的替代表示可以在某种程度上减小面部图像的类内差异的事实。也，