2 citations · 2 across the 2 of their papers we have counts for
11 papers · 1 filter
Map-free Visual Relocalization: Metric Pose Relative to a Single Image
Eduardo Arnold, Jamie Wynn, Sara Vicente +5
Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D…
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation
Eric Brachmann, Martin Humenberger, Carsten Rother +1
Benchmark datasets that measure camera pose accuracy have driven progress in visual re-localisation research. To obtain poses for thousands of images, it is common to use a referen…
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Florian Kluger, Hanno Ackermann, Eric Brachmann +2
Humans perceive and construct the surrounding world as an arrangement of simple parametric models. In particular, man-made environments commonly consist of volumetric primitives su…
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision
Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler +2
Visual re-localization means using a single image as input to estimate the camera's location and orientation relative to a pre-recorded environment. The highest-scoring methods are…
BOP Challenge 2020 on 6D Object Localization
Tomas Hodan, Martin Sundermeyer, Bertram Drost +5
This paper presents the evaluation methodology, datasets, and results of the BOP Challenge 2020, the third in a series of public competitions organized with the goal to capture the…
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
Eric Brachmann, Carsten Rother
We describe a learning-based system that estimates the camera position and orientation from a single input image relative to a known environment. The system is flexible w.r.t. the…