13 citations · 16 across the 3 of their papers we have counts for
3 papers
Online Learning of Correspondences between Images
Michael Felsberg, Fredrik Larsson, Johan Wiklund +2
We propose a novel method for iterative learning of point correspondences between image sequences. Points moving on surfaces in 3D space are projected into two images. Given a poin…
BASE: Probably a Better Approach to Multi-Object Tracking
Martin Vonheim Larsen, Sigmund Rolfsjord, Daniel Gusland +2
The field of visual object tracking is dominated by methods that combine simple tracking algorithms and ad hoc schemes. Probabilistic tracking algorithms, which are leading in othe…
Fast Localization of Facial Landmark Points
Nenad Markuš, Miroslav Frljak, Igor S. Pandžić +2
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This i…