Accelerate Workflows for Augmented Reality and Virtual Reality Applications

Overview

Augmented Reality (AR) and Virtual Reality (VR) system design involves complex multi-domain technologies such as audio, image processing, computer vision, AI, sensor integration, and 5G. However, delivering state-of-the-art perception experiences relies on various computer vision technologies.

Highlights

In this session, we will discuss how engineers can rapidly design, implement, and optimize critical computer vision technologies in the AR/VR workflow:

Feature Detection and Registration; Object Detection and Tracking; OCR
Camera Calibration, Camera Pose Estimation, 3D Reconstruction
Visual Odometry, Structure from Motion, SLAM
Point Cloud Processing
Hardware Integration

Who Should Attend

Engineers working on augmented reality and virtual reality devices and applications

About the Presenter

Kautilya Vemulapalli is the product manager for Image Processing and Computer Vision products. He has been at MathWorks since 2019 and during this time, supported various Image Processing, Computer Vision, Deep Learning and Robotics and Autonomous Systems products. Prior to joining MathWorks, Kautilya was a Senior Systems Engineer at Asteria Aerospace managing the development and testing of UAVs. He holds a B.S. and M.S. in Aeronautics and Astronautics Engineering from Purdue University and an M.S. in Engineering and Management from MIT.

If you have any questions or have any topic you are working on that you may want us to include in this session, don’t hesitate to contact me. We are looking forward to seeing you at the webinar!

Kautilya Vemulapalli
Image Processing and Computer Vision Product Manager - MathWorks
kvemulap@mathworks.com

Product Focus

Accelerate Workflows for Augmented Reality and Virtual Reality Applications

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