224 citations · 522 across the 48 of their papers we have counts for
9 papers · 1 filter
NeuRoRA: Neural Robust Rotation Averaging
Pulak Purkait, Tat-Jun Chin, Ian Reid
Multiple rotation averaging is an essential task for structure from motion, mapping, and robot navigation. The task is to estimate the absolute orientations of several cameras give…
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait +2
Planar markers are useful in robotics and computer vision for mapping and localisation. Given a detected marker in an image, a frequent task is to estimate the 6DOF pose of the mar…
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Bo Chen, Alvaro Parra, Jiewei Cao +2
Deep networks excel in learning patterns from large amounts of data. On the other hand, many geometric vision tasks are specified as optimization problems. To seamlessly combine de…
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
Bo Chen, Jiewei Cao, Alvaro Parra +1
We propose an approach to estimate the 6DOF pose of a satellite, relative to a canonical pose, from a single image. Such a problem is crucial in many space proximity operations, su…
Consensus Maximization Tree Search Revisited
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
Consensus maximization is widely used for robust fitting in computer vision. However, solving it exactly, i.e., finding the globally optimal solution, is intractable. A* tree searc…
Scalable Place Recognition Under Appearance Change for Autonomous Driving
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin +3
A major challenge in place recognition for autonomous driving is to be robust against appearance changes due to short-term (e.g., weather, lighting) and long-term (seasons, vegetat…
Event-based Star Tracking via Multiresolution Progressive Hough Transforms
Samya Bagchi, Tat-Jun Chin
Star trackers are state-of-the-art attitude estimation devices which function by recognising and tracking star patterns. Most commercial star trackers use conventional optical sens…
Visual SLAM: Why Bundle Adjust?
Álvaro Parra, Tat-Jun Chin, Anders Eriksson +1
Bundle adjustment plays a vital role in feature-based monocular SLAM. In many modern SLAM pipelines, bundle adjustment is performed to estimate the 6DOF camera trajectory and 3D ma…
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
Álvaro Parra, Tat-Jun Chin, Frank Neumann +2
A popular paradigm for 3D point cloud registration is by extracting 3D keypoint correspondences, then estimating the registration function from the correspondences using a robust a…