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An important task in computer vision is to estimate the 3D motion of rigid objects from multiple views. Conventional methods typically rely on point correspondences or image brightness gradients. The underlying matching and brightness constraints are generally not met in practice which limits the accuracy of these techniques. In this paper, we present a new approach that performs 3D motion estimation...
One of the key problems in computer vision is the recovery of epipolar geometry constraints between different camera views. The majority of existing techniques rely on point correspondences, which are typically perturbed by mismatches and noise, hence limiting the accuracy of these techniques. To overcome these limitations, we propose a novel approach that estimates epipolar geometry constraints based...
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