Chandra Kambhamettu, University of Delaware

This talk will concentrate on our nonrigid motion analysis research with emphasis on medical, bioinformatics and remote sensing applications.

We first present two novel frameworks for the deformable contour formulation: spatiotemporal analysis formulation, and multiple snakes formulation. Our spatiotemporal formulation has been successfully applied to track tongue and heart wall boundaries from ultrasound imagery. Multiple snake formulation has been applied to extract boundaries of gene spots in microarray images to quantify the expression level.

Our recent work includes spline-based nonrigid motion and point correspondence recovery method for 3D surfaces. This method is based on differential geometry, where shape information is used to recover the point correspondences. In contrast to the majority of shape-based methods which assume that shape (normal, curvature) changes are minimum during deformations, our method focuses on the "non-rigid" relationships between shapes. Applications include 3D tongue motion and polar ice surface motion.

Lastly, our work on Protein Docking will be presented. This work involves finding a binding configuration by which two proteins fit together in 3D space. Protein docking is considered a difficult problem because of the huge search space of docking binding sites. Thus, computer-aided analysis and prediction of these interactions are becoming increasingly important. We study and apply novel shape based techniques that help in drastically reducing the docking search space.

For details of other projects, visit http://vims.cis.udel.edu.

Sponsored by the Multimedia Vision and Visualization Group.