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Recent progress in sketch-based 3D shape retrieval creates a novel and user-friendly way to explore massive 3D shapes on the Internet. However, current methods on this topic rely on designing invariant features for both sketches and 3D shapes, or complex matching strategies. Therefore, they suffer from problems like arbitrary drawings and inconsistent viewpoints. To tackle this problem, we propose...
This paper proposes a novel variational dimension frequency domain method for feature-adaptive mesh Representation. The eigen functions given by the eigen decomposition of the Laplace-Beltrami operator are used to define Fourier like function basis to project the actual geometry of the mesh into the spectral space because of their geometry aware and orthogonal. But, low-pass filters based on Fourier-like...
In this paper we proposed an anisotropic quad-dominant remeshing algorithm suitable for meshes of arbitrary topology. It takes a novel approach to the challenging problem of constructing high-quality quad-dominant mesh with anisotropic sampling. The method based on exploiting and analyzing principal curvature lines of the surface, which aimed to improve mesh structure and efficiency. Connectivity...
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