SSPR /SPR 1998: Advances in Pattern Recognition pp 677-686

# A statistical theory of shape

• Rikard Berthilsson
Statistical Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

## Abstract

In this paper, we will study the statistical theory of shape for ordered finite point configurations, or otherwise stated, the uncertainty of geometric invariants. A general approach for defining shape and finding its density, expressed in the densities for the individual points, is developed. Some examples, that can be computed analytically, are given, including both affine and positive similarity shape. Projective shape and projective invariants are important topics in computer vision and are discussed at the end of the paper.

## Keywords

Uncertainty Distribution Density Shape Invariants Recognition

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