Scale-Invariant, Unsupervised Part Decomposition of 3D Objects


This paper presents a novel 3D object decomposition method based on supervoxels and low-curvature regions. We consider representing an object with a combination of primitive shapes in the recognized regions. We propose a scale-invariant, non-parametric shape estimation method. The experiments show promising results on unseen objects. 


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