Real-time 3-D head motion estimation in facial image coding

Tzong-Jer Yang, Fu-Che Wu, M. Ouhyoung
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引用次数: 5

Abstract

A simple procedure that uses only three feature points to infer 3D head motion from consecutive video frames is presented. In this procedure, a feature triangle formed using the three feature points is automatically calibrated, and an iterative method that simulates steepest descent method is applied to estimate one's head motion. A prediction algorithm is adopted in occasional cases where the estimated result is not acceptable. This procedure has been applied to live video with an update rate of 7 frames/sec (250 frames/sec without feature extraction) on a Pentium-II 233 MHz PC, independent of cameras and users.
人脸图像编码中的实时三维头部运动估计
提出了一种仅使用三个特征点从连续视频帧中推断3D头部运动的简单方法。该方法利用三个特征点形成的特征三角形进行自动标定,并采用模拟最陡下降法的迭代方法对头部运动进行估计。在估计结果不能接受的情况下,采用预测算法。本程序已应用于更新速率为7帧/秒(250帧/秒无特征提取)的实时视频在Pentium-II 233mhz PC上,独立于相机和用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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