21 citations · 29 across the 2 of their papers we have counts for
4 papers
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
Ali Cheraghian, Shafin Rahman, Dylan Campbell +1
The development of advanced 3D sensors has enabled many objects to be captured in the wild at a large scale, and a 3D object recognition system may therefore encounter many objects…
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
Dylan Campbell, Lars Petersson, Laurent Kneip +1
Estimating the 6-DoF pose of a camera from a single image relative to a pre-computed 3D point-set is an important task for many computer vision applications. Perspective-n-Point (P…
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
Jiaolong Yang, Hongdong Li, Dylan Campbell +1
The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-set registration. However, being based on local iterative optimization, ICP is known to…
GOGMA: Globally-Optimal Gaussian Mixture Alignment
Dylan Campbell, Lars Petersson
Gaussian mixture alignment is a family of approaches that are frequently used for robustly solving the point-set registration problem. However, since they use local optimisation, t…