Learning-based depth estimation on wide angle images with non linear distortion

Julie Buquet; Julie Buquet; Jinsong Zhang; Patrice Roulet; Jean-Francois Lalonde; Simon Thibault

doi:10.1364/3D.2020.DF3A.1

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper DF3A.1
•https://doi.org/10.1364/3D.2020.DF3A.1

Learning-based depth estimation on wide angle images with non linear distortion

Julie Buquet, Jinsong Zhang, Patrice Roulet, Jean-Francois Lalonde, and Simon Thibault

3D Image Acquisition and Display: Technology, Perception and Applications 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

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3D Sensing, Imaging, and Processing II (DF3A)

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J. Buquet, J. Zhang, P. Roulet, J. Lalonde, and S. Thibault, "Learning-based depth estimation on wide angle images with non linear distortion," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper DF3A.1.

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Abstract

We developed a Convolutional Neural Network to estimate depth on wide-angle images using panomorph lens with controlled distortion. We simulated three different lens model and compared their performances based on their zone of augmented resolution.

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