首页> 外文会议>Statistical Signal Processing, 2003 IEEE Workshop on >Affine-permutation symmetry: invariance and shape space
【24h】

Affine-permutation symmetry: invariance and shape space

机译:仿射置换对称性:不变性和形状空间

获取原文

摘要

Studying similarity of objects by looking at their shapes arises naturally in many applications. However, under different viewpoints one and the same object appears to have different shapes. In addition, the correspondences between their feature points are unknown to the viewer. In this paper, we introduce the concept of intrinsic shape of an object that is invariant to affine-permutation shape distortions. We study geometry of the intrinsic shape space in the framework of differentiable manifolds with the emphasis on the computational aspects. We represent the intrinsic shape space as a folded Grassmann manifold. This allows us to easily analyze and compare different intrinsic shapes under the affine-permutation distortion without explicitly computing and recovering these intrinsic shapes. We present the mathematical equations for connecting two intrinsic shapes by a geodesic, measuring their similarity, and morphing one intrinsic shape onto another.
机译:通过查看对象的形状来研究对象的相似性在许多应用中自然而然地出现了。然而,在不同的观点下,一个物体和同一物体似乎具有不同的形状。另外,观看者不知道它们的特征点之间的对应关系。在本文中,我们介绍了对象的固有形状的概念,该形状对于仿射置换形状失真是不变的。我们在可微流形框架内研究内在形状空间的几何学,重点是计算方面。我们将固有形状空间表示为折叠的Grassmann流形。这使我们能够在仿射置换失真下轻松分析和比较不同的本征形状,而无需显式计算和恢复这些本征形状。我们给出了通过测地线连接两个本征形状,测量它们的相似度以及将一种本征形状变形为另一种本征形状的数学方程式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号