Outputs (2)

re-OBJ:Jointly learning the foreground and background for object instance re-identification (2019)
Presentation / Conference Contribution
James, S. (2019, September). re-OBJ:Jointly learning the foreground and background for object instance re-identification. Presented at Image Analysis and Processing – ICIAP 2019, Trento, Italy

Conventional approaches to object instance re-identification rely on matching appearances of the target objects among a set of frames. However, learning appearances of the objects alone might fail when there are multiple objects with similar appearan... Read More about re-OBJ:Jointly learning the foreground and background for object instance re-identification.

Autonomous 3D reconstruction, mapping and exploration of indoor environments with a robotic arm (2019)
Journal Article
Wang, Y., James, S., Stathopoulou, E. K., Beltrán-González, C., Konishi, Y., & Del Bue, A. (2019). Autonomous 3D reconstruction, mapping and exploration of indoor environments with a robotic arm. IEEE Robotics and Automation Letters, 4(4), 3340-3347. https://doi.org/10.1109/LRA.2019.2926676

We propose a novel information gain metric that combines hand-crafted and data-driven metrics to address the next best view problem for autonomous 3-D mapping of unknown indoor environments. For the hand-crafted metric, we propose an entropy-based in... Read More about Autonomous 3D reconstruction, mapping and exploration of indoor environments with a robotic arm.