Basic Information
Head Worn Mixed Reality Devices Require Real-time Computer Vision For Multiple Purposes, Such As Motion Tracking, Scene Understanding, And Interaction Input. This Course Presents a Hands-on Overview of These Computer Vision Techniques For Mixed Reality, From Monocular Pose Estimation, to Stereo-view Hand Tracking, and Scene Reconstruction With Depth Sensors and Multiple Cameras. Fundamental Approaches As Well As Current Challenges, From Geometric Vision to Learning-based Approaches, Are Presented in The Context of Mixed Reality, With Readings From Textbooks and Relevant Papers. Students Will Complete Three Individual Assignments and One Group Project, in The Form of Mixed Reality Research Prototypes And Conference-style Report. Learning Ouctomes# The Student Will# 1. Understanding of Computer Vision Techniques. 2. Develop a Research Prototype Using Concepts Learned In The Classroom.