9 papers · 1 filter
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation
Christian A. Mueller, Andreas Birk
An unsupervised shape analysis is proposed to learn concepts reflecting shape commonalities. Our approach is two-fold: i) a spatial topology analysis of point cloud segment constel…
Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras
Qingwen Xu, Arturo Gomez Chavez, Heiko Bülow +2
Spectral methods such as the improved Fourier Mellin Invariant (iFMI) transform have proved faster, more robust and accurate than feature based methods on image registration. Howev…
Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions
Arturo Gomez Chavez, Christian A. Mueller, Tobias Doernbach +2
We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in c…
Towards Robot-Centric Conceptual Knowledge Acquisition
Georg Jäger, Christian A. Mueller, Madhura Thosar +2
Robots require knowledge about objects in order to efficiently perform various household tasks involving objects. The existing knowledge bases for robots acquire symbolic knowledge…
CADDY Underwater Stereo-Vision Dataset for Human-Robot Interaction (HRI) in the Context of Diver Activities
Arturo Gomez Chavez, Andrea Ranieri, Davide Chiarella +3
In this article we present a novel underwater dataset collected from several field trials within the EU FP7 project "Cognitive autonomous diving buddy (CADDY)", where an Autonomous…
Underwater Image Haze Removal and Color Correction with an Underwater-ready Dark Channel Prior
Tomasz Łuczyński, Andreas Birk
Underwater images suffer from extremely unfavourable conditions. Light is heavily attenuated and scattered. Attenuation creates change in hue, scattering causes so called veiling l…