Search Results for author: Alvaro Parra

Found 6 papers, 3 papers with code

Asynchronous Optimisation for Event-based Visual Odometry

no code implementations2 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.

Event-based vision Visual Odometry

Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration

no code implementations21 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.

Point Cloud Registration Semantic Segmentation

Spatiotemporal Registration for Event-based Visual Odometry

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.

Motion Estimation Visual Odometry

Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure

no code implementations5 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.

Visual Odometry

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

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)

6D Pose Estimation 6D Pose Estimation using RGB

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

1 code implementation30 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.

BIG-bench Machine Learning Pose Estimation +1

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