Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
This paper describes a new method for determining correspondence between points on pairs of surfaces based on shape using a combination of geodesic distance and surface curvature....
Yongmei Wang, Bradley S. Peterson, Lawrence H. Sta...
A schcmc of camera calibration is proposed. The focal length and the orientations of the scenc coordinatc axes are computcd by dctecting the vanishing points of two sets of lincs ...
We propose a fast method for computing distance transforms and skeletons of 3D objects using programmable Graphics Processing Units (GPUs). We use an efficient method, called dista...
M. A. M. M. van Dortmont, H. M. M. van de Wetering...