64 research outputs found
Recommended from our members
2D-Shape Analysis Using Conformal Mapping
The study of 2D shapes and their similarities is a central problem in the field of vision. It arises in particular from the task of classifying and recognizing objects from their observed silhouette. Defining natural distances between 2D shapes creates a metric space of shapes, whose mathematical structure is inherently relevant to the classification task. One intriguing metric space comes from using conformal mappings of 2D shapes into each other, via the theory of TeichmĂŒller spaces. In this space every simple closed curve in the plane (a âshapeâ) is represented by a âfingerprintâ which is a diffeomorphism of the unit circle to itself (a differentiable and invertible, periodic function). More precisely, every shape defines to a unique equivalence class of such diffeomorphisms up to right multiplication by a Möbius map. The fingerprint does not change if the shape is varied by translations and scaling and any such equivalence class comes from some shape. This coset space, equipped with the infinitesimal Weil-Petersson (WP) Riemannian norm is a metric space. In this space, the shortest path between each two shapes is unique, and is given by a geodesic connecting them. Their distance from each other is given by integrating the WP-norm along that geodesic. In this paper we concentrate on solving the âweldingâ problem of âsewingâ together conformally the interior and exterior of the unit circle, glued on the unit circle by a given diffeomorphism, to obtain the unique 2D shape associated with this diffeomorphism. This will allow us to go back and forth between 2D shapes and their representing diffeomorphisms in this âspace of shapesâ. We then present an efficient method for computing the unique shortest path, the geodesic of shape morphing between each two end-point shapes. The group of diffeomorphisms of S^1 acts as a group of isometries on the space of shapes and we show how this can be used to define shape transformations, like for instance âadding a protruding limbâ to any shape.Mathematic
Reconstruction of algebraic-exponential data from moments
Let be a bounded open subset of Euclidean space with real algebraic
boundary . Under the assumption that the degree of is
given, and the power moments of the Lebesgue measure on are known up to
order , we describe an algorithmic procedure for obtaining a polynomial
vanishing on . The particular case of semi-algebraic sets defined by a
single polynomial inequality raises an intriguing question related to the
finite determinateness of the full moment sequence. The more general case of a
measure with density equal to the exponential of a polynomial is treated in
parallel. Our approach relies on Stokes theorem and simple Hankel-type matrix
identities
Geodesic Warps by Conformal Mappings
In recent years there has been considerable interest in methods for
diffeomorphic warping of images, with applications e.g.\ in medical imaging and
evolutionary biology. The original work generally cited is that of the
evolutionary biologist D'Arcy Wentworth Thompson, who demonstrated warps to
deform images of one species into another. However, unlike the deformations in
modern methods, which are drawn from the full set of diffeomorphism, he
deliberately chose lower-dimensional sets of transformations, such as planar
conformal mappings.
In this paper we study warps of such conformal mappings. The approach is to
equip the infinite dimensional manifold of conformal embeddings with a
Riemannian metric, and then use the corresponding geodesic equation in order to
obtain diffeomorphic warps. After deriving the geodesic equation, a numerical
discretisation method is developed. Several examples of geodesic warps are then
given. We also show that the equation admits totally geodesic solutions
corresponding to scaling and translation, but not to affine transformations
Local Uniqueness of the Circular Integral Invariant
This article is concerned with the representation of curves by means of
integral invariants. In contrast to the classical differential invariants they
have the advantage of being less sensitive with respect to noise. The integral
invariant most common in use is the circular integral invariant. A major
drawback of this curve descriptor, however, is the absence of any uniqueness
result for this representation. This article serves as a contribution towards
closing this gap by showing that the circular integral invariant is injective
in a neighbourhood of the circle. In addition, we provide a stability estimate
valid on this neighbourhood. The proof is an application of Riesz-Schauder
theory and the implicit function theorem in a Banach space setting
A Riemannian View on Shape Optimization
Shape optimization based on the shape calculus is numerically mostly
performed by means of steepest descent methods. This paper provides a novel
framework to analyze shape-Newton optimization methods by exploiting a
Riemannian perspective. A Riemannian shape Hessian is defined yielding often
sought properties like symmetry and quadratic convergence for Newton
optimization methods.Comment: 15 pages, 1 figure, 1 table. Forschungsbericht / Universit\"at Trier,
Mathematik, Informatik 2012,
- âŠ