视觉特征保持的网格模型简化算法  

Mesh Simplification based on Visual Feature Preserved

作　　者：杨大光[1,2] 胡维多[1] 常波 魏青 

机构地区：[1]北京航空航天大学宇航学院,北京100191 [2]海军航空兵学院,辽宁葫芦岛125001

出　　处：《图学学报》2013年第4期35-40,共6页Journal of Graphics

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.

关 键 词：网格简化 半边折叠 二次误差测度 视觉特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]