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Application of affine-invariant Fourier descriptors to recognition of 3-D objects

机译:仿射不变傅立叶描述子在3-D物体识别中的应用

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摘要

The method of Fourier descriptors is extended to produce a set of normalized coefficients which are invariant under any affine transformation (translation, rotation, scaling, and shearing). The method is based on a parameterized boundary description which is transformed to the Fourier domain and normalized there to eliminate dependencies on the affine transformation and on the starting point. Invariance to affine transforms allows considerable robustness when applied to images of objects which rotate in all three dimensions, as is demonstrated by processing silhouettes of aircraft maneuvering in three-space.
机译:扩展了傅立叶描述符的方法,以生成一组归一化系数,该系数在任何仿射变换(平移,旋转,缩放和剪切)下均不变。该方法基于参数化的边界描述,该边界描述被转换为傅立叶域并在那里进行规范化,以消除对仿射变换和起点的依赖。仿射变换的不变性在应用于在所有三个维度上旋转的物体的图像时,都具有相当强的鲁棒性,如处理飞机在三空间中的轮廓所证明的那样。

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