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Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
April 10, 2024, 4:45 a.m. | Axel Barroso-Laguna, Sowmya Munukutla, Victor Adrian Prisacariu, Eric Brachmann
cs.CV updates on arXiv.org arxiv.org
Abstract: Given two images, we can estimate the relative camera pose between them by establishing image-to-image correspondences. Usually, correspondences are 2D-to-2D and the pose we estimate is defined only up to scale. Some applications, aiming at instant augmented reality anywhere, require scale-metric pose estimates, and hence, they rely on external depth estimators to recover the scale. We present MicKey, a keypoint matching pipeline that is able to predict metric correspondences in 3D camera space. By learning …
abstract applications arxiv augmented reality cs.cv image images image-to-image instant reality scale them type
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