SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching

no code implementations • 10 Dec 2019 • Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski

In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes.

Domain Adaptation Pose Estimation

SConE: Siamese Constellation Embedding Descriptor for Image Matching

no code implementations • 28 Sep 2018 • Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen

Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching.

Interest point detectors stability evaluation on ApolloScape dataset

no code implementations • 28 Sep 2018 • Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen

In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed.

Autonomous Driving