Computer Vision &
Machine Learning on Mobile Platforms
Spring 2014
Course
Information
Computer
Vision & Machine Learning on Mobile Platforms: COMS E6998
Classroom: CEPSR 6LW4
Times: W 2:10pm-4:00pm
Instructor
Prof. Peter N. Belhumeur
http://www.cs.columbia.edu/~belhumeur/
Email: belhumeur@cs.columbia.edu
Office: 623 CEPSR
Phone: 212-939-7087
Office Hours: Wednesday 8:45 – 10am
TA
Michael Yang
Email: my2292@columbia.edu
Office: CEPSR 6LW4
Office Hours: Monday 2:30 - 4:30
Hackathon Poll
– I can make available one of the two times posted for about 3.5 hours. Please select the time most convenient for you.
|
Milestones |
iOS |
Due Date |
|
1) Hello World in the simulator |
2/05/14 |
|
|
2) Hello World on a Device |
2/12/14 |
|
|
3) Display Images |
Steps 1 & 2 |
2/19/14 |
|
4) Face Detector |
& |
2/26/14 |
|
5) Stream Video To Screen Access Photo Gallery Access Inertial Detectors |
& & |
3/05/14 |
|
6) Link in OpenCV |
3/12/14 |
|
|
Project Presentations – Day 1 |
4/23/14 |
|
|
Project Presentations – Day 2 |
4/30/14 |
|
|
Final Report Due |
|
5/09/14 |
Presentation Guidelines
Having a Power Point or Slides is recommended.
What is your problem? What is your audience? How
you solved it? Screen shots of app.
Having a
demo of the app. Stream to the TV or pass around the device.
Resources
CV + ML Libraries
OpenCV
Helpful links/notes from class
Storyboards
tutorial
Short
intro to Objective-C
Basic
iOS App - Step By Step Includes ViewController, UIImage, UIButton and UILabel
Steps
to Develop on a Device - from class 2/13/13
Android example (MainActivity.java activity_main.xml) – from class 2/27/13
How
to write an iOS app that uses a web service