Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Camera Calibration with one-dimensional objects is based on an algebraic constraint on the image of the absolute conic. We will give an alternative derivation to this constraint, ...
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
The Grid vision is to allow heterogeneous computational resources to be shared and utilised globally. Grid users are able to submit tasks to remote resources for execution. Howeve...