Unifying framework for 2D/3D shape classification based on the eigenvectors of the Laplace–Beltrami Operator and wavelet density estimation.
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Form prototype representations of shapes on a high dimensional spherical manifold using the Karcher mean.
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Computationally efficient classification scheme due to smaller search index composed of mean shape densities.
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Spherical manifold geometry has a simple closed form similarity metric.
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Performs well on several benchmark datasets.
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