1
|
Cai X, Feng D, Cai M, Sun C, Sun H. A Low Distortion Mesh Parameterization Mapping Method Based on Proxy Function and Combined Newton. INT J PATTERN RECOGN 2021. [DOI: 10.1142/s0218001422590042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
To address the issues of low efficiencies and serious mapping distortions in current mesh parameterization methods, we present a low distortion mesh parameterization mapping method based on proxy function and combined Newton’s method in this paper. First, the proposed method calculates visual blind areas and distortion prone areas of a 3D mesh model, and generates a model slit. Afterwards, the method performs the Tutte mapping on the cut three-dimensional mesh model, measures the mapping distortion of the model, and outputs a distortion metric function and distortion values. Finally, the method sets iteration parameters, establishes a reference mesh, and finds the optimal coordinate points to get a convergent mesh model. When calculating mapping distortions, Dirichlet energy function is used to measure the isometric mapping distortion, and MIPS energy function is used to measure the conformal mapping distortion. To find the minimum value of the mapping distortion metric function, we use an optimal solution method combining proxy functions and combined Newton’s method. The experimental data show that the proposed method has high execution efficiency, fast descending speed of mapping distortion energy and stable optimal value convergence quality. When a texture mapping is performed, the texture is evenly colored, close laid and uniformly lined, which meets the standards in practical applications.
Collapse
Affiliation(s)
- Xingquan Cai
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Dingwei Feng
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Mohan Cai
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Chen Sun
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Haiyan Sun
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| |
Collapse
|