3D Vision and Extended Reality

This course (taught 2019–2024) provided an introduction to the principles of 3D vision and extended reality (XR), emphasizing practical applications and development using Unity3D. Key topics included 3D reconstruction, virtual environments, interaction techniques and machine learning.
GitHub repository.

Topics Covered

3D Vision

• Fundamentals of 3D reconstruction
• Depth sensing and stereo vision

Extended Reality

• Core concepts of virtual and augmented reality
• Interaction methods in XR environments

Unity Development

• Unity project setup
• Creating XR applications

This course equips graduate students with foundational knowledge and advanced concepts in 3D computer vision and XR. It combines theoretical learning with hands-on Unity projects to develop skills in depth perception, spatial computing, and immersive technologies.

Hands-On Labs

The 3DVisionXRLabs-Unity GitHub repository offers modular Unity-based labs that complement the course. These labs allow students to:

• Simulate stereo camera setups and explore epipolar geometry.
• Conduct virtual calibration using synthetic environments.
• Design interactive AR/VR applications leveraging computer vision techniques.

Learning Goals

By the end of this course, students will:

• Implement 3D vision algorithms in immersive and interactive contexts.
• Create XR prototypes that integrate depth, motion, and geometry.
• Bridge computer vision research with real-time immersive experiences.

For additional information, visit the GitHub repository.