Local wavelet decomposition and its application to face reconstruction

被引：0
|
作者：
Borghese, NA [1 ]
Ferrari, S [1 ]
Piuri, V [1 ]
机构：
[1] CNR, INB, Lab Human Mot Study & Virtual Real, I-20090 Segrate, Milano, Italy
来源：
NEURAL NETS - WIRN VIETRI-99 | 1999年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelets are a powerful tool for multi-resolution analysis as they combine spatial and frequency locality. In this paper an efficient procedure to compute the Wavelet coefficients, called lifting schema, is illustrated, It can be applied efficiently to construct Wavelet networks. Results on face reconstruction operated at different resolution are reported and discussed.
引用
收藏
页码：184 / 189
页数：6
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