Interesting for computer vision and animation, the paper by Nico Höft, Hannes Schulz, and Sven Behnke, “Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks” categorizes the surface to which each pixel in an image belongs. Semantic scene segmentation is a major challenge on the way to functional computer vision systems that can separately label the objects in a scene. The authors report their method can reach competitive performance at a high frame rate on the NYU Depth V2 dataset.Microsoft is also interested in labeling the surfaces of pixels
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