Fred Rothganger

TL;DR: A novel representation for three-dimensional objects in terms of local affine-invariant descriptors of their images and the spatial relationships between the corresponding surface patches is introduced, allowing the acquisition of true 3D affine and Euclidean models from multiple unregistered images, as well as their recognition in photographs taken from arbitrary viewpoints.

TL;DR: Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint.

TL;DR: This paper addresses the problem of using three disc-shaped robots to manipulate a polygonal object in the plane in the presence of obstacles by generalized to the case where obstacles are present by decomposing the corresponding motion planning task into the construction of a collision-free path for a modified form of the object.

TL;DR: The proposed approach is applied to the detection and recognition of moving objects in video sequences and the identification of shots that depict the same scene in a video clip (shot matching).

TL;DR: This paper characterize the set of positions of a third robot, the so-called capture region, that prevent P from escaping to infinity via continuous rigid motion, and shows that the computation of the capture region reduces to a visibility problem.