2021
DOI: 10.48550/arxiv.2103.09213
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Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

Abstract: Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, from an input image. This either fails to generalize to new viewpoints or ties the model parameters to a specific scene. In this paper, we go Back to the Feature: we argue that deep networks should focus on learning robust and invariant visual features, while the geometric estimation should be left to principled algorithms. We introdu… Show more

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