A Computational Model for Periodic Pattern Perception Based on Crystollagraphic Groups

基于晶体群的周期性模式感知计算模型

• 批准号: 0099597
• 负责人: Yanxi Liu
• 金额: $ 30.21万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2006-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0099597&HistoricalAwards=false
• 关键词: Computational; Model; Periodic; Pattern; Perception

The proposed work addresses a computational model for periodic pattern perception based on the mathematical theory of crystallographic groups. The model to be built will have a capability of isolating underlying periodic patterns in images. Results of the work are likely to enrich methods of image processing of symmetric structures. Other applications include pattern indexing (textile, psychology), image reproduction/compression, gait analysis, among others.

所提出的工作提出了基于晶体群数学理论的周期性模式感知的计算模型。要构建的模型将具有隔离图像中潜在周期性模式的能力。这项工作的结果可能会丰富对称结构图像处理的方法。其他应用包括模式索引（纺织、心理学）、图像再现/压缩、步态分析等。