Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
— This paper investigates possible physical alterations of tracking targets to obtain improved 6DoF pose detection for a camera observing the known targets. We explore the influe...
Lukas Gruber, Stefanie Zollmann, Daniel Wagner, Di...
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...