【摘要】 本文提出了一种基于独立元分析 (IndependentComponentAnalysis,ICA)的仿射目标识别和仿射参数估计的新方法 .对于待识别的不同扭曲程度的目标 ,可采用ICA方法提取轮廓的仿射不变描述 ,从而解决扭曲目标识别问题 .该方法同时能够估计两个视频帧间的仿射变换参数 ,在高压缩率编码标准中 ,如MPEG4或MPEG7,具有很重要的现实意义 .实验结果表明 ,该方法优于传统的目标识别和仿射参数估计方法更多还原

【Abstract】 This paper proposes a new scheme based on Independent Component Analysis (ICA) for object recognition with affine transformation and for affine parameter estimation.For different skewed shapes of recognized object,an invariant descriptor can be extracted by ICA,so it can solve some deformed object recognition problems.This method also can be used to estimate the affine motion between two frames,which is important in high compression rate coding such as MPEG4 or MPEG7 standard.Experimental results show that the proposed method has a better performance than other traditional methods in pattern recognition and affine motion estimation.更多还原