Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality

14 Oct 2020 Alisha Sharma Ryan Nett Jonathan Ventura

We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important technology for applications such as virtual reality, 3D modeling, and autonomous robotic navigation... (read more)

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Video Game Models
Max Pooling
Pooling Operations