| Paper: | WP-P1.12 |
| Session: | Implementation of Image and Video Processing Systems II / Biomedical Imaging |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
A GLOBAL-TO-LOCAL 2D SHAPE REGISTRATION IN IMPLICIT SPACES USING LEVEL SETS |
| Authors: |
Rachid Fahmi; CVIP Lab., University of Louisville | | |
| | Aly A. Farag; CVIP Lab., University of Louisville | | |
| Abstract: |
This work deals with the problem of shape registration. Broadly speaking, the problem is that of establishing point-wise correspondences in two different shapes of arbitrary dimension and topology. This problem is a fundamental component in numerous image and vision applications. We propose a variational framework for a dense global-to-local 2D shape registration. Affine transformations are accounted for using Vector Distance Functions. Based on this representation, a dissimilarity measure between the two shapes is minimized to recover the global matching parameters. The local coordinate transformation between the two shapes is explicitly estimated by solving a regularized non-linear PDE-based motion model. Various experimental results are presented and discussed to show the potential of the proposed framework with a finite element (FE)-based validation of its performance. |
