ECE516: Intelligent Image Processing

Schedule		Labs		Philosophy		Opportunities		20-Year ECE516 History

Lectures Tue, Wed and Fri 2pm, in BA3165 [2024 schedule].

Instructor: Prof. Steve Mann (bio).
Teaching Assistants:
Head TA: Nishant Kumar;
Ali Barzegar Khanghah.

This website was hand-written, using just a text-editor, like I did with my first website at MIT in 1993 (world's first photo, video, streaming site). Enjoy the Amish-like tradition of simplicity and reliability!

Subscribe to Prof. Steve Mann's YouTube channel (hydraulist), which has a ECE516 playlist for some previous lectures where you can look at recorded lectures made during the pandemic years. You might also enjoy looking at the eXtended metaVerse (XV = beyond the metaverse) playlist also.

You can also subscribe to the older 2021 channel as well, if you like: Previous (pre-2021) YouTube channel.

Prof. Steve Mann (bio), together with a team of super-smart TAs who all know the material really well: Nishant Kumar is a master at Wearable AI, HuMachine Learning, etc., and Ali Barzegar Khanghah has expertise in biomedical imaging, and related concepts. We've also got some of the world's leading experts as advisors) are ready to make your learning experience awesome with connections to MIT, Stanford University, Silicon Valley, California, and Shenzhen...

COFM (Composition of Final Mark) is included in the ECE516 Syllabus (PDF) (a Google doc also available in ODT or docx format).

You can also look at the output of Syllabus Builder which makes reference to the above document: Syllabus Builder output but regretably it is automatically generated natively in a docx file format which is not standards-compliant.

In this course you will learn how to invent, design, build, and deeply understand:

Cameras and intelligent AI-based 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);
Photocell Experiment and Comperiodicity (fractal periodicity = fractal ambiguity) in comparametric sensing (ref .)
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), XR (eXtended Reality), metaverse (metaverse.ieee.org), and beyond-metaverse = XV (eXtendiVerse); see also a short (6-minute) video intro to Beyond the Metaverse (link);
Vision systems for autonomous electric vehicles;
Sensing, meta-sensing, smart buildings, smart cities, etc.;
Health and wellbeing, wearables: 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, metavision, metaverse, https://metaverse.ieee.org/ and beyond metaverse), 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.

You might like to subscribe to my YouTube, "hydraulist" and watch the ECE516 playlist and learn the fundamental scientific and mathematical principles that gave rise to the extended metaverse and will guide you to inventing the future.

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...), connections to Silicon Valley, Shenzhen, etc..

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

Copyleft 2023

This work is licensed under "Against DRM 2.0".