We perform shape matching by transforming the problem of establishing shape correspondences into an image registration problem. At each vertex on the shape, we calculate a shape f...
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components:...
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
We present an efficient approach to self-collision detection suitable for complex articulated robots such as humanoids. Preventing self-collisions is vital for the safe operation ...
James J. Kuffner Jr., Koichi Nishiwaki, Satoshi Ka...
In this paper, we present a novel framework for constructing large deformation log-unbiased image registration models that generate theoretically and intuitively correct deformati...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Al...