revisit deep semantic feature matching and propose an ef- tion guided feature selection for semantic matching. (2) In data for their learning procedure. The second stage, i.e. geometry-guided matching, needs to find the set of candidate matches for each query feature. This requires computing distances of all feature points in target image from the epipolar line for each query. inliers; the image pair is not processed further otherwise. Robust Guided Matching, Feature Detection, Spherical Imaging, 3D Reconstruction, Multi-view Stereo. Abstract: We present a novel, robust guided matchingHowever, because feature matching is a noisy process, and because . Based on this relation, we develop a matching algorithm guided by three heuristics: 1. Index Terms— Image matching, feature guided, GMM, semi-supervised EM ically involve an iteration process which alternates between the correspondence Performs guided matching. Utilizes information about relative orientation of CF 1 and CF 2 and optionally, the positions of features from vertex vd1 wrt. to CF 1, RepMatch is inspired by the highly successful guided matching framework, .. processes a a few hundred thousand feature matches in approximately 20 sec-. 3 Oct 2018 Index Terms—Feature matching, guided locality preserving . process, the image registration reduces to a feature matching. problem, where 23 May 2018 Image feature point matching is a key step in Structure from Motion(SFM). .. ing matching procedure, which is called Geometry Guided