Progress in arbitrary topology deformable surfaces

A. Saminathan, A. J. Stoddart, A. Hilton, J. Illingworth
Centre for Vision, Speech and Signal Processing
University of Surrey, Guildford, Surrey GU2 5XH, UK
email: a.stoddart@ee.surrey.ac.uk

Abstract:

Most deformable surfaces used in computer vision are restricted to a simple underlying mesh topology. This is a considerable limitation when dealing with complicated objects whose topology is not known in advance. In previous work we introduced a deformable surface that can take on arbitrary topology while maintaining geometric continuity throughout.

In this paper we present some recent advances we have made that enable faster computation and a principled evaluation of the data fitting term. The method is used to obtain more compact representations for dense polygonal meshes obtained from multiple range images. We show results using a new approach to initialise the mesh topology.

• 1 Introduction
• 2 Related work
• 3 A matrix form for `Slime'
• 4 Results
• 5 Conclusions and future work
• References