166 citations · 757 across the 41 of their papers we have counts for
53 papers
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses
Kunal Chelani, Torsten Sattler, Fredrik Kahl +1
Visual localization is the task of estimating the camera pose from which a given image was taken and is central to several 3D computer vision applications. With the rapid growth in…
Visual Localization using Imperfect 3D Models from the Internet
Vojtech Panek, Zuzana Kukelova, Torsten Sattler
Visual localization is a core component in many applications, including augmented reality (AR). Localization algorithms compute the camera pose of a query image w.r.t. a scene repr…
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra
Jonas Kulhanek, Torsten Sattler
Neural Radiance Fields (NeRFs) are a very recent and very popular approach for the problems of novel view synthesis and 3D reconstruction. A popular scene representation used by Ne…
Practical solutions to the relative pose of three calibrated cameras
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +4
We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We propose novel efficient solutions to this problem t…
Partially calibrated semi-generalized pose from hybrid point correspondences
Snehal Bhayani, Viktor Larsson, Torsten Sattler +2
In this paper we study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t.…
Objects Can Move: 3D Change Detection by Geometric Transformation Constistency
Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos +1
AR/VR applications and robots need to know when the scene has changed. An example is when objects are moved, added, or removed from the scene. We propose a 3D object discovery meth…