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 ...
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
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...
Whilst the physical mechanism used by the eye to accommodate has been known since the mid 19th century, there have been few suggestions as to the method by which the human visual ...
Interactive direct visualization of 3D data requires fast update rates and the ability to extract regions of interest from the surrounding data. We have implemented MultiValued Cl...
Terry S. Yoo, Ulrich Neumann, Henry Fuchs, Stephen...