2016 Fourth International Conference on 3D Vision (3DV) (2016)
Stanford, CA, USA
Oct. 25, 2016 to Oct. 28, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DV.2016.57
We propose Anisotropic Windowed Fourier Transform (AWFT), a framework for localized space-frequency analysis of deformable 3D shapes. With AWFT, we are able to extract meaningful intrinsic localized orientation-sensitive structures on surfaces, and use them in applications such as shape segmentation, salient point detection, feature point description, and matching. Our method outperforms previous approaches in the considered applications.
Manifolds, Laplace equations, Shape, Eigenvalues and eigenfunctions, Fourier transforms, Standards, Signal processing
S. Melzi, E. Rodola, U. Castellani and M. M. Bronstein, "Shape Analysis with Anisotropic Windowed Fourier Transform," 2016 Fourth International Conference on 3D Vision (3DV), Stanford, CA, USA, 2016, pp. 470-478.