Jun 25, 2003 · In this paper, we aim to develop an algorithm for the extraction of a medial set of a random point set in two-an d three-dimensional spaces.

In this paper, we aim to develop an algorithm for the extraction of a medial set of a random point set in two-an d three-dimensional spaces.

Abstract. In this paper, we aim to develop an algorithm for the extrac- tion of a medial set of a random point set in two- and three-dimensional spaces.

In this paper, we aim to develop an algorithm for the extraction of a medial set of a random point set in two-an d three-dimensional spaces.

Atsushi Imiya, Hisashi Ootani, Ken Tatara: Medial Set, Boundary, and Topology of Random Point Sets. Theoretical Foundations of Computer Vision 2002: 196-217.

In this paper, we develop an algorithm for the learning of the boundary and the medial axis of random point sets, employing the principal curve analysis. The ...

Atsushi Imiya, Hisashi Ootani, Ken Tatara: Medial Set, Boundary, and Topology of Random Point Sets. Theoretical Foundations of Computer Vision 2002: 196-217 ...

TL;DR: An algorithm for the learning of the boundary and the medial axis of random point sets, employing the principal curve analysis, a generalization of ...

Medial Set Boundary and Topology of Random Point Sets. 196. ScaleBased Corner Extraction of a Contour Figure Using a Crystalline Flow. 218. Hyperfigures and ...

The medial axis is defined as a collection of lines within a two-dimensional or three-dimensional bounded region that represents the rough shape of the region.