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[essays and dissertation][Other Subjects][Other Science and Technology]Real-Time Eestimation of Long-Term 3-D Motion Parameters for NSHC Face Amimation and Model-Based Coding Applications论文
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 论文编号：
lw200708201234536185 |
| 论文属性：
dissertation |
| 论文语言：English |
| 论文国家：U.K. |
| 登出日期： 2007-08-20 |
| 字数： 8750 |
| 源程序：
无 |
| 价格：
200 |
| 注明： |
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| 论文大纲，目录 |
| 关键词搜索：Real-Time Eestimation Long-Term 3-D Motion Parameters NSHC Face Amimation |
Real-Time Eestimation of Long-Term 3-D Motion Parameters for NSHC Face Amimation and Model-Based Coding Applications
Abstract— In this pager, we present two recursive methods for the real-time estimation of long-term three-dimensional (3-D) motion parameters from monocular image sequences suitable for synthetic/natural hybrid coding face animation and model-based coding applications. Based on feature point extractions in every frame, the 3-D motion parameters of a human face are estimated with a predictive approach. The first method uses a recursive linear least squares approach and the second employs a nonlinear extended Kalman filter, which does not rely on a linearized model of the face motion. Both methods perform a prediction and correction loop at every time step. Compared to other methods of the proposed estimation process solves the problem of error accumulation in long-term motion estimation. This mades the estimantion stable and consistent over long periods. Experimental results are presented for synthetic data and real image sequences, which demonstrate the performance of the estimation methods and compare the two approaches.英语论文网 【http://www.51lunwen.org】
本文来自：英语论文网 【http://www.51lunwen.org】 |
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