摘要
将无序的、分布不均匀的三维网格模型形状分布问题,转换为有序的、均匀的一维流形问题,进而实现三维模型的形状检索.本文将三维网格模型,投影为三维的光顺主曲线;通过对主曲线沿弧长方向的均匀分割采样,提取主曲线的空间位置和姿态等形状特征;最后通过形状描述向量的比较实现了对应的三维模型检索.实验证明该形状描述方法对几何变换是稳定的,降低了多分辨率、局部形变、噪声等因素影响对三维网格模型形状描述的干扰.
The unordered and non-uniform shape distribution of 3D models is converted to an ordered and uniform one of 1D manifold. By projecting 3D models into 1D smooth principal curves, equally segmentation and sampling along the length of curve are implemented to extract shape feature vectors, then one can retrieve 3D model according to the matching result of shape feature vectors of 1D manifold. The experiments prove that this shape description is invariant under transformations and the errors brought by multiresolution, local morph, and noises etc are depressed.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2006年第1期14-20,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家重点基础研究发展规划项目(2004CB318000)
国家自然科学基金重点项目(60533090)
国家自然科学基金(60573154)
关键词
分割主曲线
三维模型检索
形状特征
迭代最近点
principal curve segmentation
3D model retrieval
shape description
iterated closest points (ICP)