Using artifi cial intelligence to create frictionless motion capture

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Colin Brown

Wrnch Inc., Canada

: J Comput Eng Inf Technol

Abstract

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Motion Capture has revolutionized computer graphics by making 3D animation incredibly lifelike. Not with standing this enornmous success, the prohibitly high set up and operating costs of traditional motion capture techniques, limits its use only the largest 3D content creators. In this talk, we describe how deep learning can over come these barriors and turn any cell phone camera into a production ready motion capture system

Biography

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Colin Brown is a computer vision scientist at Wrnch Inc. working on deep learning models for activity recognition. He completed PhD in the Medical Image Analysis Lab at Simon Fraser University, where his research focus was on methods to extract salient information from diffusion tensor images of the brain. Combining creative and analytical thought to make something new excites him. Broadly, his interests lie in image analysis, computer vision, machine learning, video games, rendering and game design.

E-mail: colin.brown@wrnch.AI