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20112023
most citedGuaranteed Outlier Removal for Point Cloud Registration with Correspondences

224 citations · 522 across the 48 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022

ROSIA: Rotation-Search-Based Star Identification Algorithm

Chee-Kheng Chng, Alvaro Parra Bustos, Benjamin McCarthy +1

This paper presents a rotation-search-based approach for addressing the star identification (Star-ID) problem. The proposed algorithm, ROSIA, is a heuristics-free algorithm that se…

cs.CV2022

Globally Optimal Event-Based Divergence Estimation for Ventral Landing

Sofia McLeod, Gabriele Meoni, Dario Izzo +5

Event sensing is a major component in bio-inspired flight guidance and control systems. We explore the usage of event cameras for predicting time-to-contact (TTC) with the surface…

cs.CV2022★ 1 cited

Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing

Mohsi Jawaid, Ethan Elms, Yasir Latif +1

Deep models trained using synthetic data require domain adaptation to bridge the gap between the simulation and target environments. State-of-the-art domain adaptation methods ofte…

cs.CV2022

Update Compression for Deep Neural Networks on the Edge

Bo Chen, Ali Bakhshi, Gustavo Batista +2

An increasing number of artificial intelligence (AI) applications involve the execution of deep neural networks (DNNs) on edge devices. Many practical reasons motivate the need to…

cs.CV2022★ 1 cited

Asynchronous Optimisation for Event-based Visual Odometry

Daqi Liu, Alvaro Parra, Yasir Latif +3

Event cameras open up new possibilities for robotic perception due to their low latency and high dynamic range. On the other hand, developing effective event-based vision algorithm…

cs.CV2022★ 1 cited

A Hybrid Quantum-Classical Algorithm for Robust Fitting

Anh-Dzung Doan, Michele Sasdelli, David Suter +1

Fitting geometric models onto outlier contaminated data is provably intractable. Many computer vision systems rely on random sampling heuristics to solve robust fitting, which do n…