We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
This study provides a framework for researchers who study human-computer interaction to develop and evaluate user-centric user-interfaces by applying existing theories about telep...
Virtual reconstruction and representation of historical environments and objects have been of research interest for nearly two decades. Physically-based and historically accurate ...
Jassim Happa, Mark Mudge, Kurt Debattista, Alessan...
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...