Computer Vision and Multimodal Computing

Department D2 of the Max-Planck-Institut for Computer Science

Perceptual Computing  in general and Computer Vision in particular have great potentials to change the way we interact with computers and how machines such as robots perceive the world. Over the last three decades significant progress has been made in computer vision. Today it is possible to use image information for quality control and domain specific problems such as face recognition, recovery of CAD models for well-defined objects and basic visual surveillance. Robustness of perception and vision algorithms however is a notorious problem and one of the major bottlenecks for industrial applications. At the same time there is little doubt that in the next decades small and inexpensive sensors will be developed and embedded in many devices. Our hypothesis is that the integration of multiple features and sensors facilitates robustness in environments of realistic complexity.

The Computer Vision and Multimodal Computing Department is headed by Prof. Dr. Bernt Schiele
Before coming to the Max Planck Institute for Informatics in Saarbrücken he was head of the Multimodal Interactive Systems Group in Darmstadt.