基于语义分析的三维服装曲面生成算法

doi:10.13475/j.fzxb.20180100205

Abstract

Abstract:

In order to further improve the efficiency of 3-D garment design, a 3-D garment surface generation algorithm based on semantic analysis was proposed. Firstly, the geometric interaction semantics based on grid mode was analyzed, hten the 3-D garment surface generation algorithm and semantic analysis model was studied, and finally the feasibility of the proposed algorithm was verified by comparative experiments. The results indicate that the geometric semantic interaction models can be established to draft drawing and mapping grid map using the using the approximation fitting algorithm to fit the complete sketch line, and through smoothing, denoising, mesh stitching method to form 3-D garment surface integrity. In addition to the selected geometric model method, constraint model method and semantic analysis method comparative experiments, experiments, experimental results show that the peoposed algorithm efficiency is 45% higher than other mainstream algorithms, and the fitting accuracy is higher by nearly 15%, more suitable for the reconstruction of 3-D garment surface, which verifies the feasibility of the proposed algorithm.

Key words: garment design, semantic analysis model, garment surface, grid fitting, reconstruction algorithm

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Surface generation algorithm of 3-D garment based on semantic analysis

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