This paper presents a novel technique to fill in missing background and moving foreground of a video captured by a static or moving camera. Different from previous efforts which a...
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
This work contributes to the robotic bin-picking problem, and more specifically to the problem of localizing piled box-like objects. We employ range imagery, and use box-like Supe...
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
Visual recognition and detection are computationally intensive tasks and current research efforts primarily focus on solving them without considering the computational capability ...