We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour...
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
This paper presents an approach that incorporates Canonical Correlation Analysis (CCA) for monocular 3D face pose and facial animation estimation. The CCA is used to find the depe...
Computers have been widely deployed to our daily lives, but human-computer interaction still lacks intuition. Researchers intend to resolve these shortcomings by augmenting tradit...
Matthias Wimmer, Christoph Mayer, Sylvia Pietzsch,...