Comparing Timoshenko beam to energy beam for fitting noisy data
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
| Hi-index | 0.00 |
Abstract Nonrigid motion can be described as morphing or blending between extremal shapes, e.g., heart motion can be described as transitioning between the systole and diastole states. Using physically-based modeling techniques, shape similarity can be measured in terms of forces and strain. This provides a physically-based coordinate system in which motion is characterized in terms of physical similarity to a set of extremal shapes. Having such a low-dimensional characterization of nonrigid motion allows for the recognition and the comparison of different types of nonrigid motion.