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Augmenting Visual Place Recognition with Structural Cues
Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza
In this paper, we propose to augment image-based place recognition with structural cues. Specifically, these structural cues are obtained using structure-from-motion, such that no…
Matching Features without Descriptors: Implicitly Matched Interest Points
Titus Cieslewski, Michael Bloesch, Davide Scaramuzza
The extraction and matching of interest points is a prerequisite for many geometric computer vision problems. Traditionally, matching has been achieved by assigning descriptors to…
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
Titus Cieslewski, Konstantinos G. Derpanis, Davide Scaramuzza
A wide range of computer vision algorithms rely on identifying sparse interest points in images and establishing correspondences between them. However, only a subset of the initial…