The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Abstract— This paper presents a methodology for the modeling and control of internal forces and moments produced during multi-contact interactions between humanoid robots and the...
—In this paper, we present a method to analyze different implementations of stream-based applications on heterogeneous multiprocessor systems. We take both resource usage and per...
We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common frame...
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe...