摘要
针对二次误差测度算法存在几何特征消失等缺陷,提出了基于顶点视觉特征度的新的网格模型简化算法。该算法采用半边折叠,通过引入顶点视觉特征度来优化了二次误差测度,从而改变边折叠的顺序,使模型中的突出视觉特征更多的被保留下来。视觉特征度通过顶点平均曲率熵来定义,它反映了顶点中心区域的视觉变化情况。实验表明,该算法高效、可靠、能很好保持模型的视觉特征。
In allusion to the some deficiencies from the algorithm based on error metrics （QEM）, such as neglect of some geometric features, a novel approach based on visual feature is proposed for mesh simplification. The approach is driven by introducing a visual feature into the new QEM to optimize error metrics, as well as half-edge collapse, therefore the collapse sequences of edge can be adjusted, and some sharp visual features of the model can be preserved. We define the visual feature of one vertex based on its vertex curvature entropy which reflects the visual variation of the region centered at this vertex. Comparing with QEM algorithm, the algorithm is efficient, reliable, and can maintain the visual characteristics of the model better.
出处
《图学学报》
CSCD
北大核心
2013年第4期35-40,共6页
Journal of Graphics
关键词
网格简化
半边折叠
二次误差测度
视觉特征
mesh simplification
half-edge collapse
quadric error metrics
visual feature
作者简介
杨大光（1982-），男，辽宁葫芦岛人，助教，硕士研究生，主要研究方向为视景仿真，三维可视化，计算机图形学。E—mail：yangdaguang0702@163．com
