no code implementations • 2 Mar 2022 • Daqi Liu, Alvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian Reid
Event cameras open up new possibilities for robotic perception due to their low latency and high dynamic range.
no code implementations • 21 Feb 2022 • Giang Truong, Huu Le, Alvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter
The volume of data to handle, and still elusive need to have the registration occur fully reliably and fully automatically, mean there is a need to innovate further.
2 code implementations • CVPR 2021 • Daqi Liu, Alvaro Parra, Tat-Jun Chin
The state-of-the-art method of contrast maximisation recovers the motion from a batch of events by maximising the contrast of the image of warped events.
no code implementations • 5 Oct 2020 • Chee-Kheng Chng, Alvaro Parra, Tat-Jun Chin, Yasir Latif
To simplify the task of absolute orientation estimation, we formulate the monocular rotational odometry problem and devise a fast algorithm to accurately estimate camera orientations with 2D-2D feature matches alone.
2 code implementations • CVPR 2020 • Bo Chen, Alvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
To seamlessly combine deep learning and geometric vision, it is vital to perform learning and geometric optimization end-to-end.
Ranked #1 on 6D Pose Estimation using RGB on LineMOD (Accuracy metric)
1 code implementation • 30 Aug 2019 • Bo Chen, Jiewei Cao, Alvaro Parra, Tat-Jun Chin
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image.