NDLI: Multi-mother wavelet neural network-based on genetic algorithm and multiresolution analysis for fast 3D mesh deformation

Content Provider	IET Digital Library
Author	Dhibi, Naziha Amar, Chokri Ben
Abstract	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.
Starting Page	2480
Ending Page	2486
Page Count	7
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 13, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0343
Journal	IET Image Processing
Publisher Date	2019-08-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Mesh Deformation Process Computational Geometry Deformation Processes Fast 3D Mesh Deformation Finite Element Analysis Genetic Algorithm Graphics Technique Hierarchical Triangle Mesh Representations Integral Transforms in Numerical Analysis Interpolation And Function Approximation Knowledge Engineering Technique Learning in AI Least Squares Approximation Local Minima Mesh Generation Multimother Wavelet Network Multiresolution Analysis Neural Computing Technique Neural Nets Neural Network Architecture Numerical Analysis Optimisation Technique Predetermined Network Architecture Statistics Wavelet Neural Network Training Problem Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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