ECE516 (ECE516H1S): Intelligent Image Processing

First lecture Monday 2022 Jan 10th at 4pm; presently the Thursday 2pm lectures are realtime as per student consensus poll taken 2022jan10.

Subscribe to Prof. Steve Mann's YouTube channel (hydraulist), which will be used this year (2022) to post the lectures.

You can also subscribe to last year's (2021) YouTube channel.

Prof. Steve Mann (bio), together with a team of super-smart TAs who all know the material really well: Zhao Lu, Jacky Lau, and Samir Khaki, are ready to make your learning experience awesome!

In this course [syllabus for 2022] you will learn how to invent, design, build, and deeply understand:

Cameras and imaging systems, starting from the very simplest form of camera and then advancing from there;
Photoquantigraphic image sensing systems based on comparametic sensing (comparametric equations);
HDR (High Dynamic Range) computer vision systems;
Panoramic computer vision systems ("Video Orbits");
Wearable computing by building an active vision system for the blind, using a mathematical transform that has built-in machine learning;
Vision-based Human/Machine learning and Extended Intelligence;
VR/AR (Virtual/All Reality) (see our AWE 2018 paper);
Vision systems for autonomous electric vehicles;
Sensing, meta-sensing, and Smart Cities;
Health and wellbeing: ultrasound heart sensing;

You will also have a final project, and opportunities to work with advanced Intelligent Image Processing systems such as the Vuzix Blade, Vuzix SmartSwim, and InteraXon Muse brain-sensing headband that can be used to cause the eye itself to become a camera. We have several Blades, SmartSwims, and Muses available for sign-out. A number of us also swim regularly year-round, including winter ice swims with underwater augmented reality + eXtended Reality (XR) computer vision, and eXtended Intelligence, and are members of SwimOP = Swim at Ontario Place (downtown Toronto's only beach).

You will learn from the world's leading experts in imaging, sensing, meta-sensing (metaveillance), and computer vision, both passive (e.g. cameras) and active (e.g. sonar, radar, lidar, etc.), while deeply understanding computer vision and machine learning from first principles (mathematics and fundamental physics).

What you learn in this course applies at any physical scale from wearables to smart cars to smart buildings (clothing is a building built for a single occupant), to smart cities, and from vision-based model craft (model cars, drones, etc.) to full size self-driven transportation systems.

Schedule Labs Philosophy Opportunities 20-Year ECE516 History

This website was hand-made without the use of any software... [Consider free and open-source ... link].

We're hoping that the most talenented students in this course will help us teach the course while you learn it! Become a "deputy student", meaning that you'll have fun and get additional bonus marks plus an offer for a summer position plus we can help get you into MIT (Prof. Mann's alma mater) or Stanford (Prof. Mann, Visiting Full Professor...).

Please be sure to read this excellent safety manual written by our very own Afshin Poraria.

Copyleft 2022

This work is licensed under "Against DRM 2.0".