Fast Keypoint Recognition and Recent Work at CVLab

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I will first present our approach to real-timekeypoint recognition based on a Naïve Bayesian classification framework, and its applications to robust 3D object detection and tracking. I will also discuss a recent extension to the estimation of the keypoint perspective orientations, suitable for detecting low-textured objects. Then, I will quickly present more recent developments at CVLab, in particular deformable surfaces registration in closed-form, dense local descriptors for wide baseline reconstruction, and accurate monocular 3D tracking using specular reflections.




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