Averaging, filtering and interpolation of 3-D object orientation data is important in both computer vision and computer graphics, for instance to smooth estimates of object orien...
Anders Brun, Carl-Fredrik Westin, Steven Haker, Ha...
- Autonomous navigation in 2D and 3D environments has been studied for a long time. Navigating within a 3D environment is very challenging for both animals and robots and a variety...
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...
Curvature-based energy and forces are used in a broad variety of contexts, ranging from modeling of thin plates and shells to surface fairing and variational surface design. The a...
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...