人脸识别中面部手势的流形分析

Douglas A. Fidaleo, M. Trivedi
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引用次数: 22

摘要

面部动作的细节经常被用来定性地定义和描述面部特征。这不仅仅是由这些手势引起的皮肤运动,而且皮肤的外观变化也提供了这些信息。为了将手势及其外观用作生物识别,建立一个健壮的模型至关重要。为此,我们正在探索手势流形。本文描述了正在进行的工作,以评估面部手势的流形表示,既作为生物特征,也作为提取生物特征信息的手段。讨论了当前采集系统的细节以及设备背后的激励原理。提出了初步的观察结果,以激发流形分析,然后阐述了正在进行的实验,将用于验证模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Manifold analysis of facial gestures for face recognition
The particulars of facial gestures are frequently used to qualitatively define and characterize faces. It is not merely the skin motion induced by such gestures, but the appearance of the skin changes that provides this information. For gestures and their appearance to be utilized as a biometric, it is critical that a robust model be established. For this purpose we are exploring gesture manifolds.This paper describes work underway toward evaluation of the manifold representation of facial gestures both as a biometric, and as a means to extract biometric information. Details of the current acquisition system are discussed with the motivating principles behind the device. Preliminary observations are presented to motivate manifold analysis followed by an exposition of the experiments underway that will be used to validate the model.
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