ML Anthology

Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction

Tamay Aykut, Christoph Burgmair, Mojtaba Karimi, Jingyi Xu, Eckehard G. Steinbach
WACV 2018 pp. 2010-2018
doi:10.1109/WACV.2018.00222 /wacv/2018/aykut2018wacv-delay/

Abstract

Communication delay is a major challenge for the acceptance of telepresence applications. It is particularly critical when the user experiences the remote environment via a Head-Mounted-Display. The lag between head motion and display response results in motion sickness, indisposition, and, at worst, abortion of the telepresence session. In this paper, we propose a delay compensation approach for 3D 360° telepresence systems realized with a mechanically actuated stereoscopic vision system. We further introduce a novel metric to evaluate the achievable level of delay compensation. We investigate state-of-the-art head motion predictors and propose a novel probabilistic prediction paradigm, which can half the mean prediction error and improve the level of delay compensation by up to 26%. The general validity of our approach is shown by means of two independent real head motion datasets. The experimental results verify that average compensation rates of more than 99% can be achieved for communication delays between 100-500ms.

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Cite

Text

Aykut et al. "Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018. doi:10.1109/WACV.2018.00222

Markdown

[Aykut et al. "Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction." IEEE/CVF Winter Conference on Applications of Computer Vision, 2018.](https://mlanthology.org/wacv/2018/aykut2018wacv-delay/) doi:10.1109/WACV.2018.00222

BibTeX

@inproceedings{aykut2018wacv-delay,
  title     = {{Delay Compensation for Actuated Stereoscopic 360 Degree Telepresence Systems with Probabilistic Head Motion Prediction}},
  author    = {Aykut, Tamay and Burgmair, Christoph and Karimi, Mojtaba and Xu, Jingyi and Steinbach, Eckehard G.},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2018},
  pages     = {2010-2018},
  doi       = {10.1109/WACV.2018.00222},
  url       = {https://mlanthology.org/wacv/2018/aykut2018wacv-delay/}
}