Wide-angle vision and sensing using artificial intelligence, machine learning and neural networks -- phase 2

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The industrial partner in this project, ImmerVision, specializes in the development of novel wide-anglepanoramic optical and software technologies. In their quest to provide additional value to their customers, theywish to include additional "intelligence" to their products. In the first stage of this project, we used deeplearning techniques to estimate depth from wide angle images. In the second stage of this project, we proposeto use deep learning to compensate for distortions in wide angle images in the context of video conferencing.Indeed, faces often appear distorted and un-natural in these kinds of images. The goal is to exploit data-drivenapproaches to automatically unwrap faces in videos captured with wide-angle lenses.