most citedLarge Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras

5 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception

Christoph Heindl, Markus Ikeda, Gernot Stübl +2

The raise of collaborative robotics has led to wide range of sensor technologies to detect human-machine interactions: at short distances, proximity sensors detect nontactile gestu…

cs.CV20193 cited

Metric Pose Estimation for Human-Machine Interaction Using Monocular Vision

Christoph Heindl, Markus Ikeda, Gernot Stübl +2

The rapid growth of collaborative robotics in production requires new automation technologies that take human and machine equally into account. In this work, we describe a monocula…

cs.CV2019

Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

Christoph Heindl, Thomas Pönitz, Gernot Stübl +2

Commodity RGB-D sensors capture color images along with dense pixel-wise depth information in real-time. Typical RGB-D sensors are provided with a factory calibration and exhibit e…

cs.CV20195 cited

Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras

Christoph Heindl, Thomas Pönitz, Andreas Pichler +1

We propose a novel 3D human pose detector using two panoramic cameras. We show that transforming fisheye perspectives to rectilinear views allows a direct application of two-dimens…

cs.CV20194 cited

3D Robot Pose Estimation from 2D Images

Christoph Heindl, Sebastian Zambal, Thomas Ponitz +2

This paper considers the task of locating articulated poses of multiple robots in images. Our approach simultaneously infers the number of robots in a scene, identifies joint locat…