Computer Vision &
Machine Learning on Mobile Platforms
Spring 2013
Course
Information
Computer
Vision & Machine Learning on Mobile Platforms: COMS E6998
Classroom: ENG 253
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
Michelle Alexander
Email: mla2148@columbia.edu
Office: CEPSR 6LW4
Office Hours: Wednesday 12:30 - 2:30
Piazza
– New piazza group for the class. Post any questions you have or any
good examples and tutorials that you find.
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Milestones |
Android |
iOS |
Due Date |
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1) Hello World in the simulator |
2/06/13 |
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2) Hello World on a Device |
2/13/13 |
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3) Display Images |
Steps 1 & 2 |
2/20/13 |
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4) Face Detector |
& |
& |
2/27/13 |
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5) Stream Video To Screen Access Photo Gallery Access Inertial Detectors |
& |
& & |
3/6/13 |
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6) Link in OpenCV |
3/13/13 |
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Project Presentations – Day 1 |
{jcs2213} |
{yh2567,
rj2377, kr2496, sw2778} {yw2383} {xh2178,
wd2214, yl2876} {yz2516} |
4/24/13 |
|
Project Presentations – Day 2 |
{mh3203,
ep2652} {xd2137,
yw2491} {ya2282}*windows |
{hb2403,
yl2919, xm2151, xz2299} {cgr2125} |
5/1/13 |
|
Final Report Due |
|
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5/10/13 |
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