Accelerate Workflows for Augmented Reality and Virtual Reality Applications
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.
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!
Image Processing and Computer Vision Product Manager - MathWorks