We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
—We present a new method for synthesizing novel views of a 3D scene from two or three reference images in full correspondence. The core of this work is the use and manipulation o...
The multiple view geometry in space-time can represent multiple view geometry in the case where nonrigid arbitrary motions are viewed from multiple translational cameras. However,...
We present a novel technique to accurately map the complete field-of-coverage of a camera to its pan-tilt space in an efficient manner. This camera model enables mapping the coordi...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...