Principal components analysis for tracking of facial features

P. Antoszczyszyn, J. Hannah, Peter Grant
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Abstract

A new method of tracking the position of important facial features in 'head-and-shoulders' sequences is presented for low bit-rate wireless communication. The initial part of the analysed sequence is decomposed into sub-images containing important facial features. Tracking of the facial features in subsequent frames is based on this set of sub-images.
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基于主成分分析的人脸特征跟踪
提出了一种用于低比特率无线通信的头肩序列中重要面部特征位置跟踪的新方法。分析序列的初始部分被分解为包含重要面部特征的子图像。后续帧的面部特征跟踪是基于这组子图像。
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