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Low-rank approximation of image collections (e.g., via PCA) is a popular tool in many areas of computer vision. Yet, surprisingly little is known justifying the observation that images of an object or scene tend to be low dimensional, beyond the special case of Lambertian scenes. This paper considers the question of how many basis images are needed to span the space of images of a scene under real-world...
We propose a novel approach to reduce spatially varying motion blur using a hybrid camera system that simultaneously captures high-resolution video at a low-frame rate together with low-resolution video at a high-frame rate. Our work is inspired by Ben-Ezra and Nayar who introduced the hybrid camera idea for correcting global motion blur for a single still image. We broaden the scope of the problem...
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