Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging

no code implementations • CVPR 2021 • Álvaro Parra, Shin-Fang Chng, Tat-Jun Chin, Anders Eriksson, Ian Reid

Under mild conditions on the noise level of the measurements, rotation averaging satisfies strong duality, which enables global solutions to be obtained via semidefinite programming (SDP) relaxation.

valid

Globally Optimal Contrast Maximisation for Event-based Motion Estimation

1 code implementation • CVPR 2020 • Daqi Liu, Álvaro Parra, Tat-Jun Chin

To alleviate this weakness, we propose a new globally optimal event-based motion estimation algorithm.

Event-based Motion Estimation Motion Estimation

Visual SLAM: Why Bundle Adjust?

no code implementations • 11 Feb 2019 • Álvaro Parra, Tat-Jun Chin, Anders Eriksson, Ian Reid

Bundle adjustment plays a vital role in feature-based monocular SLAM.

A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints

no code implementations • 5 Feb 2019 • Álvaro Parra, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann

An alternative approach is to directly search for the subset of correspondences that are pairwise consistent, without optimising the registration function.

Point Cloud Registration