This paper presents work on vision based robotic grasping. The proposed method adopts a learning framework where prototypical grasping points are learnt from several examples and ...
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called Morphological Elastic Graph Matching algorithm. ...
Georgios N. Stamou, Nikos Nikolaidis, Ioannis Pita...
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...