Today, visual recognition systems are still rarely employed in robotics applications. Perhaps
one of the main reasons for this is the lack of demanding benchmarks that mimic such …

Over the last decades, the total variation (TV) has evolved to be one of the most broadly-
used regularisation functionals for inverse problems, in particular for imaging applications …

Estimating dense 3D scene flow from stereo sequences remains a challenging task, despite
much progress in both classical disparity and 2D optical flow estimation. To overcome the …

This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …

We consider the problem of computing optical flow in monocular video taken from a moving
vehicle. In this setting, the vast majority of image flow is due to the vehicle's ego-motion. We …

We present a process for rendering a realistic facial performance with control of viewpoint
and illumination. The performance is based on one or more high-quality geometry and …

This paper addresses the problem of scene understanding for driver assistance systems. To
recognize the large number of objects that may be found on the road, several sensors and …

We propose a framework for temporally consistent video completion. To this end we
generalize the exemplar-based inpainting method of Criminisi et al.[7] to video inpainting …

Large motions remain a challenge for current optical flow algorithms. Traditionally, large
motions are addressed using multi-resolution representations like Gaussian pyramids. To …

Dense optical flow is a crucial visual cue for obstacle avoidance and motion control for
robotic systems functioning in complex unstructured environments. In order to compute …