166 citations · 757 across the 41 of their papers we have counts for
6 papers · 1 filter
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization
Ara Jafarzadeh, Manuel Lopez Antequera, Pau Gargallo +4
Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene. It is an important part…
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…
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson +8
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, f…
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
Vladimir Guzov, Aymen Mir, Torsten Sattler +1
We introduce (HPS) Human POSEitioning System, a method to recover the full 3D pose of a human registered with a 3D scan of the surrounding environment using wearable sensors. Using…
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
Kunal Chelani, Fredrik Kahl, Torsten Sattler
Visual localization is the problem of estimating the camera pose of a given image with respect to a known scene. Visual localization algorithms are a fundamental building block in…
Calibrated and Partially Calibrated Semi-Generalized Homographies
Snehal Bhayani, Torsten Sattler, Daniel Barath +3
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-…