Currents and Finite Elements as Tools for Shape Space
Journal article, 2019

The nonlinear spaces of shapes (unparameterized immersed curves or submanifolds) are of interest for many applications in image analysis, such as the identification of shapes that are similar modulo the action of some group. In this paper, we study a general representation of shapes as currents, which are based on linear spaces and are suitable for numerical discretization, being robust to noise. We develop the theory of currents for shape spaces by considering both the analytic and numerical aspects of the problem. In particular, we study the analytical properties of the current map and the H-s norm that it induces on shapes. We determine the conditions under which the current determines the shape. We then provide a finite element-based discretization of the currents that is a practical computational tool for shapes. Finally, we demonstrate this approach on a variety of examples.

Image analysis

Shape space

Finite elements



James Benn

Massey University

Stephen Marsland

Victoria University of Wellington

R. I. McLachlan

Massey University

Klas Modin

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Olivier Verdier

Royal Institute of Technology (KTH)

Western Norway University of Applied Sciences

Journal of Mathematical Imaging and Vision

0924-9907 (ISSN) 1573-7683 (eISSN)

Vol. 61 8 1197-1220

Subject Categories

Computational Mathematics


Computer Vision and Robotics (Autonomous Systems)



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