Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Abstract-- We present an interactive framework for exploring space-time relationships in databases of experimentally collected highresolution biomechanical data. These data describ...
Daniel F. Keefe, Marcus Ewert, William Ribarsky,...
This paper presents an approach to visualize and analyze 3D building information models within virtual 3D city models. Building information models (BIMs) formalize and represent d...
We introduce a computational model of sensor fusion based on the topographic representations of a ”two-microphone and one camera” configuration. Our aim is to perform a robust...