Extending the concept of texture to the geometry of a mesh manifold surface is an emerging topic in image processing. This concept is different from gluing images to the surface, but rather indicates the presence of relief patterns that locally change the surface geometry, showing some regular and repetitive pattern. In this paper, we propose an efficient and effective framework to address this novel task, which encompasses the convolution operation and the casting of a variety of Local Binary Pattern on the mesh manifold. Results show that our technique outperforms the existing state-of-the-art methods in the challenging task of relief patterns classification.
Extending LBP and Convolution-like Operations on the Mesh / Claudio Tortorici, Naoufel Werghi, Stefano Berretti. - STAMPA. - (2019), pp. 4479-4483. ( IEEE International Conference on Image Processing Taipei, Taiwan 22-25 September 2019) [10.1109/ICIP.2019.8803593].
Extending LBP and Convolution-like Operations on the Mesh
Stefano Berretti
2019
Abstract
Extending the concept of texture to the geometry of a mesh manifold surface is an emerging topic in image processing. This concept is different from gluing images to the surface, but rather indicates the presence of relief patterns that locally change the surface geometry, showing some regular and repetitive pattern. In this paper, we propose an efficient and effective framework to address this novel task, which encompasses the convolution operation and the casting of a variety of Local Binary Pattern on the mesh manifold. Results show that our technique outperforms the existing state-of-the-art methods in the challenging task of relief patterns classification.| File | Dimensione | Formato | |
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