Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
The signed distance field for a polygonal model is a useful representation that facilitates efficient computation in many visualization and geometric processing tasks. Often it is...
Abstract. Existing localization techniques such as GPS have fundamental limitations which preclude deployment in urban canyons or areas with inconsistent network availability. Augm...
Jeffrey Hemmes, Douglas Thain, Christian Poellabau...
— We present a robot localization system using biologically-inspired vision. Our system models two extensively studied human visual capabilities: (1) extracting the “gist” of...