多边形网格
特征(语言学)
计算机科学
模式识别(心理学)
聚类分析
投票
张量(固有定义)
GSM演进的增强数据速率
人工智能
对象(语法)
面子(社会学概念)
数据挖掘
数学
几何学
计算机图形学(图像)
社会科学
哲学
语言学
社会学
政治
政治学
法学
作者
Hyun Soo Kim,Han Kyun Choi,Kwan H. Lee
标识
DOI:10.1016/j.cad.2008.12.003
摘要
This paper presents n-dimensional feature recognition of triangular meshes that can handle both geometric properties and additional attributes such as color information of a physical object. Our method is based on a tensor voting technique for classifying features and integrates a clustering and region growing methodology for segmenting a mesh into sub-patches. We classify a feature into a corner, a sharp edge and a face. Then, finally we detect features via region merging and cleaning processes. Our feature detection shows good performance with efficiency for various dimensional models.
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