Abstract-- We are conducting research on "Embodied Proactive Human Interface". The aim of this research is to develop a new human-friendly active interface based on two k...
Most robotic vision algorithms have been proposed by envisaging robots operating in industrial environments, where the world is assumed to be static and rigid. These algorithms ca...
We introduce a shape descriptor that is based on the Symmetry Set. This set represents pairwise symmetric points and consists of several branches. The begin and end points of the ...
Arjan Kuijper, Ole Fogh Olsen, Philip Bille, Peter...
Automatic localization of singular points in fingerprints is of critical importance in many algorithms. Existing methods of detecting singular points often require tedious ad-hoc ...
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Initialization and choice of adequate motion models are two important but seldom discussed problems in 3D modelbased pose (position and orientation) tracking. In this paper, we pr...
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
IrisCode, a widely deployed iris recognition algorithm, developed in 1993 and continuously modified by Daugman has attracted considerable attentions. IrisCode using a coarse phase...