Titlebook: Computer Vision Systems; 7th International Co Mario Fritz,Bernt Schiele,Justus H. Piater Conference proceedings 2009 Springer-Verlag Berlin

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The Liberal and Nationalist Revivalfrom the depth signals. We further enhance the robustness of the algorithm by combining this information with that of an RGB camera. In our experiments, we demonstrate this increased robustness and conclude by showing a practical example of an immersive application taking advantage of our algorithm.

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The General Signs and Causes of Fevering algorithm with algorithmic extensions for automotive applications on a reconfigurable hardware platform resulting in a low power consumption of under 3W. The algorithm runs at 25Hz processing image pairs of size 750x480 pixels and computing stereo on a 680x400 image part with up to a maximum of 128 disparities.