基于各向异性加窗傅里叶变换的形状分析

2016 Fourth International Conference on 3D Vision (3DV) Pub Date : 2016-10-01 DOI:10.1109/3DV.2016.57

S. Melzi, E. Rodolà, U. Castellani, M. Bronstein

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引用次数: 19

摘要

我们提出了各向异性加窗傅里叶变换(AWFT)，这是一种用于可变形三维形状的局域空频分析的框架。利用AWFT，我们能够在表面上提取有意义的固有局部定向敏感结构，并将其用于形状分割、显著点检测、特征点描述和匹配等应用。在考虑的应用程序中，我们的方法优于以前的方法。

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Shape Analysis with Anisotropic Windowed Fourier Transform

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.

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2016 Fourth International Conference on 3D Vision (3DV)

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