2 code implementations • 25 Oct 2021 • Manuel Stoiber, Martin Pfanne, Klaus H. Strobl, Rudolph Triebel, Alin Albu-Schäffer
Finally, we use a pre-rendered sparse viewpoint model to create a joint posterior probability for the object pose.
1 code implementation • CVPR 2022 • Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision.
Ranked #2 on 6D Pose Estimation on OPT
1 code implementation • 2 Aug 2022 • Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk, Rudolph Triebel
Our approach focuses on methods that employ Newton-like optimization techniques, which are widely used in object tracking.
Ranked #1 on 3D Object Tracking on RTB
1 code implementation • 22 Feb 2023 • Manuel Stoiber, Mariam Elsayed, Anne E. Reichert, Florian Steidle, Dongheui Lee, Rudolph Triebel
In this work, we develop a multi-modality tracker that fuses information from visual appearance and geometry to estimate object poses.
Ranked #1 on 6D Pose Estimation on YCB-Video
no code implementations • 23 Mar 2023 • Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer, Manuel Stoiber, Rudolph Triebel
We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model.