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首页> 外文期刊>Image Processing, IET >Multi-mother wavelet neural network-based on genetic algorithm and multiresolution analysis for fast 3D mesh deformation
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Multi-mother wavelet neural network-based on genetic algorithm and multiresolution analysis for fast 3D mesh deformation

机译：基于遗传算法和多分辨率分析的多母小波神经网络快速3D网格变形

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摘要

The current study presents a new 3D mesh deformation process using multi-mother wavelet neural network architecture, which relies on genetic algorithm and multiresolution analysis. Classic forming algorithms begin with a predetermined network architecture that may be insufficient or too complicated. In addition, the solving of wavelet neural network training problems is described by their perceived inability to escape local optima. The main objective of the authors' proposed approach is that it prevents both the insufficiency and local minima by integrating the genetic algorithm; their wavelet network is used as an approximation tool to align the features of mesh to have efficient deformation processes. Also, such meshes are especially expensive to transmit and are awkward to deform. For this reason, they propose to use multiresolution analysis to decompose a surface geometry into several levels of detail in order to work only with the approximation coefficient at a chosen decomposition level. Hierarchical triangle mesh representations provide access to a triangle mesh at the desired resolution without omitting any information. The experimental results showed the validity of the generalisation ability and the efficiency of their suggested multi-mother wavelet network architecture based on genetic algorithm and multiresolution analysis for 3D mesh modelling and deformation.
机译：当前的研究提出了一种基于多母小波神经网络架构的3D网格变形新过程，该过程依赖于遗传算法和多分辨率分析。经典的形成算法以可能不足或过于复杂的预定网络架构开始。此外，小波神经网络训练问题的解决方法是通过感知到的无法逃脱局部最优来描述的。作者提出的方法的主要目的是通过集成遗传算法来防止功能不足和局部最小值。他们的小波网络被用作近似工具，以对齐网格的特征以具有有效的变形过程。而且，这种网状物的传输特别昂贵并且难以变形。因此，他们建议使用多分辨率分析将表面几何形状分解为多个细节级别，以便仅在选定分解级别使用近似系数。分层三角网格表示可提供所需分辨率的三角网格访问，而不会遗漏任何信息。实验结果表明，基于遗传算法和多分辨率分析的3D网格建模和变形，其泛化能力的有效性及其建议的多母小波网络架构的有效性。

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