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Found 3 papers, 1 papers with code
Discriminative Learning of Deep Convolutional Feature Point Descriptors
Deep learning has revolutionalized image-level tasks such as classification, but patch-level tasks, such as correspondence, still rely on hand-crafted features, e. g. SIFT.
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Fracking Deep Convolutional Image Descriptors
In this paper we propose a novel framework for learning local image descriptors in a discriminative manner.
Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection
Given a set of 3D-to-2D matches, we formulate pose estimation problem as a low-rank homogeneous sys- tem where the solution lies on its 1D null space.
