We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Abstract— Currently, most of the automated, computervision assisted camera control policies are based on human events, such as the speaker gesture and position changes. In additi...
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
In this paper, we address the use of three dimensional facial shape information for human face identification. We propose a new method to represent faces as 3D registered point cl...