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We propose a novel 3D human pose detector using two panoramic cameras. Weshow that transforming fisheye perspectives to rectilinear views allows adirect application of two-dimensional deep-learning pose estimation methods,without the explicit need for a costly re-training step to compensate forfisheye image distortions. By utilizing panoramic cameras, our method iscapable of accurately estimating human poses over a large field of view. Thisrenders our method suitable for ergonomic analyses and other pose basedassessments.

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