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CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Adaptive sampling for mesh spectrum editing
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ZHAO Xiang-jun, ZHANG Hong-xin, BAO Hu-jun. Adaptive sampling for mesh spectrum editing[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1193-1200.
@article{title="Adaptive sampling for mesh spectrum editing",
author="ZHAO Xiang-jun, ZHANG Hong-xin, BAO Hu-jun",
journal="Journal of Zhejiang University Science A",
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pages="1193-1200",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1193"
}
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T1 - Adaptive sampling for mesh spectrum editing
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Abstract: A mesh editing framework is presented in this paper, which integrates Free-Form Deformation (FFD) and geometry signal processing. By using simplified model from original mesh, the editing task can be accomplished with a few operations. We take the deformation of the proxy and the position coordinates of the mesh models as geometry signal. Wavelet analysis is employed to separate local detail information gracefully. The crucial innovation of this paper is a new adaptive regular sampling approach for our signal analysis based editing framework. In our approach, an original mesh is resampled and then refined iteratively which reflects optimization of our proposed spectrum preserving energy. As an extension of our spectrum editing scheme, the editing principle is applied to geometry details transferring, which brings satisfying results.
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