The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
— In this paper, we present a novel boosted robot vision control algorithm. The method utilizes on-line boosting to produce a strong vision-based robot control starting from two ...
— This paper proposes an original and novel vision sensing method to be used in vision-based dynamic identification of parallel robots. Indeed, it is shown that in the latter pr...
Omar Ait-Aider, Nicolas Andreff, Philippe Martinet...
Abstract— This paper presents a novel approach for visionbased control of the end-effector of parallel mechanisms. It is based on the metrological redundancy paradigm, which simp...
Nicolas Andreff, Arnaud Marchadier, Philippe Marti...
The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...