Human team members often develop shared expectations to predict each other’s needs and coordinate their behaviors. In this paper the concept “Shared Belief Map” is proposed ...
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
This study addresses the problem of finding correspondences for wide baseline stereo. Texture has traditionally been utilised as a single-image cue for 3D shape reconstruction (sh...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Key distribution is one of the most challenging security issues in wireless sensor networks where sensor nodes are randomly scattered over a hostile territory. In such a sensor dep...