no code implementations • 17 Nov 2021 • Nuno Pereira, Luís A. Alexandre
We present a new method to estimate the 6D pose of objects that improves upon the accuracy of current proposals and can still be used in real-time.
no code implementations • 30 Oct 2021 • John Miller, Elahe Soltanaghai, Raewyn Duvall, Jeff Chen, Vikram Bhat, Nuno Pereira, Anthony Rowe
In this paper, we present LocAR, an infrastructure-free 6-degrees-of-freedom (6DoF) localization system for AR applications that uses motion estimates and range measurements between users to establish an accurate relative coordinate system.
1 code implementation • 18 Nov 2019 • Nuno Pereira, Luís A. Alexandre
MaskedFusion is a framework to estimate the 6D pose of objects using RGB-D data, with an architecture that leverages multiple sub-tasks in a pipeline to achieve accurate 6D poses.
Ranked #2 on 6D Pose Estimation using RGBD on YCB-Video