Lai Yu-Kun, Zhou Qian-Yi, Hu Shi-Min, Wallner Johannes, Pottmann Helmut
Department of Computer Science and Technology, Tsinghua University, Beijing, PR China
IEEE Trans Vis Comput Graph. 2007 Jan-Feb;13(1):34-45. doi: 10.1109/TVCG.2007.19.
Sharp edges, ridges, valleys, and prongs are critical for the appearance and an accurate representation of a 3D model. In this paper, we propose a novel approach that deals with the global shape of features in a robust way. Based on a remeshing algorithm which delivers an isotropic mesh in a feature-sensitive metric, features are recognized on multiple scales via integral invariants of local neighborhoods. Morphological and smoothing operations are then used for feature region extraction and classification into basic types such as ridges, valleys, and prongs. The resulting representation of feature regions is further used for feature-specific editing operations.
尖锐边缘、棱脊、凹谷和尖叉对于三维模型的外观和精确表示至关重要。在本文中,我们提出了一种新颖的方法,该方法以稳健的方式处理特征的全局形状。基于一种在特征敏感度量下生成各向同性网格的重新网格化算法,通过局部邻域的积分不变量在多个尺度上识别特征。然后使用形态学和平滑操作进行特征区域提取,并将其分类为棱脊、凹谷和尖叉等基本类型。特征区域的最终表示进一步用于特定特征的编辑操作。