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裴卉宁, 邵星辰, 郭任哲, 张新新. 基于几何相似特征的石窟造像装饰图案生成方法[J]. 计算机辅助设计与图形学学报, 2023, 35(9): 1333-1343. DOI: 10.3724/SP.J.1089.2023.19702
引用本文: 裴卉宁, 邵星辰, 郭任哲, 张新新. 基于几何相似特征的石窟造像装饰图案生成方法[J]. 计算机辅助设计与图形学学报, 2023, 35(9): 1333-1343. DOI: 10.3724/SP.J.1089.2023.19702
Pei Huining, Shao Xingchen, Guo Renzhe, Zhang Xinxin. A Method for Generating Decorative Patterns of Grotto Statues Based on Geometric Similarity Features[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(9): 1333-1343. DOI: 10.3724/SP.J.1089.2023.19702
Citation: Pei Huining, Shao Xingchen, Guo Renzhe, Zhang Xinxin. A Method for Generating Decorative Patterns of Grotto Statues Based on Geometric Similarity Features[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(9): 1333-1343. DOI: 10.3724/SP.J.1089.2023.19702

基于几何相似特征的石窟造像装饰图案生成方法

A Method for Generating Decorative Patterns of Grotto Statues Based on Geometric Similarity Features

  • 摘要: 针对石窟造像装饰图案设计中图案基元的组合方式不够灵活多变、画面布置与调整耗时、图案基元间的交叉重叠问题,提出一种基于几何相似特征的图案生成方法.首先明确图案属性,利用Freeman链码描述图案基元轮廓信息;然后利用最长公共子序列计算图案基元间的几何相似性特征;接着基于计算结果对图案基元进行设计布局,完成子图案的效果生成;最后依据检测和识别出的图案空间分布模式将子图案进行扩充生成.采用响堂山石窟中的装饰图案基元数据进行实验的结果表明,所提方法不仅解决了图案基元组合优化问题,而且能实现复杂图案的快速生成设计,该方法在图案基元的匹配时间为19.2 s,比人工方法的36.1 s更优.

     

    Abstract: In order to solve the problems that the combination mode of pattern elements in the decorative pattern design of grottoes was not flexible enough, the layout and adjustment of pictures in the design will be time-consuming and the overlapping of pattern primitives, a pattern generation method based on geometric similarity features is proposed. Firstly, it defined the pattern attributes and basic concepts. Secondly, Freeman chain code was used to describe the contour information of pattern primitives, and the longest common subsequence (LCS) was used to calculate the geometric similarity between pattern primitives. Based on the calculation results, the layout of pattern primitives was designed to complete the generation of subpatterns. Finally, the subpatterns were expanded according to the spatial distribution patterns detected and recognized. Experiments were carried out with decorative pattern primitives in Xiangtang Grottoes. The experimental results showed that the proposed method not only solves the problem of pattern primitive combination optimization, but also realizes the rapid generation and design of complex patterns. In addition, the matching time of the proposed method is 19.2 s, which is superior to 36.1 s of the artificial method.

     

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