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 …

We address the task of estimating camera parameters from a set of images depicting a
scene. Popular feature-based structure-from-motion (SfM) tools solve this task by …

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 wrt the …

Visual localization, ie, the problem of camera pose estimation, is a central component of
applications such as autonomous robots and augmented reality systems. A dominant …

Visual Localization is one of the key enabling technologies for autonomous driving and
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …

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 …

Learning-based visual relocalizers exhibit leading pose accuracy, but require hours or days
of training. Since training needs to happen on each new scene again, long training times …

Visual localization is critical to many applications in computer vision and robotics. To
address single-image RGB localization, state-of-the-art feature-based methods match local …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …