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A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis

机译:基于独立分量分析的仿射不变描述子提取和仿射运动估计新方案

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摘要

This paper proposes a new scheme based on independent component analysis (ICA) for object recognition with affine transformation and for affine motion estimation between video frames. For different affine shapes of a recognized object, an invariant descriptor can be extracted by ICA, and it can solve some 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. Simulation results show that the proposed method has a better performance than other traditional methods in pattern recognition and affine motion estimation.
机译:本文提出了一种基于独立分量分析(ICA)的新方案,该方案可进行仿射变换的目标识别以及视频帧之间的仿射运动估计。对于被识别对象的仿射形状不同,可以通过ICA提取不变描述符,从而解决一些对象识别问题。该方法还可以用于估计两个帧之间的仿射运动,这在诸如MPEG4或MPEG7标准之类的高压缩率编码中很重要。仿真结果表明,该方法在模式识别和仿射运动估计方面具有优于其他传统方法的性能。

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