A SAT-based incremental, inductive algorithm for model checking CTL properties is proposed. As in classic CTL model checking, the parse graph of the property shapes the analysis. H...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
We present a method for retexturing non-rigid objects from a single viewpoint. Without reconstructing 3D geometry, we create realistic video with shape cues at two scales. At a coa...
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...
Images of an object undergoing ego- or camera- motion
often appear to be scaled, rotated, and deformed versions
of each other. To detect and match such distorted patterns
to a s...