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arXiv · 1907.00534

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

Christoph Heindl·Thomas Pönitz·Andreas Pichler·Josef Scharinger
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Abstract

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-dimensional deep-learning pose estimation methods, without the explicit need for a costly re-training step to compensate for fisheye image distortions. By utilizing panoramic cameras, our method is capable of accurately estimating human poses over a large field of view. This renders our method suitable for ergonomic analyses and other pose based assessments.

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Christoph Heindl, Thomas Pönitz, Andreas Pichler, Josef Scharinger. 2019-07-01. Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras. https://arxiv.org/abs/1907.00534

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