activity
20212023
most citedSRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World

63 citations · 66 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics

Maximilian Ulmer, Maximilian Durner, Martin Sundermeyer +2

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. To…

cs.CV2023

Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking

Manuel Stoiber, Mariam Elsayed, Anne E. Reichert +3

In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality trac…

cs.CV2022★ 2 cited

A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures

Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk +1

Kinematic structures are very common in the real world. They range from simple articulated objects to complex mechanical systems. However, despite their relevance, most model-based…

cs.CV2022★ 1 cited

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects

Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel

Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision. State-of-the-art approaches often rely on object texture to tackle this problem…

cs.CV2021★ 63 cited

SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World

Manuel Stoiber, Martin Pfanne, Klaus H. Strobl +2

Region-based methods have become increasingly popular for model-based, monocular 3D tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the-a…