Identity Transfer in Photographs

Hi!

I would like to present something I have been working on recently, a work that immensely affect what I wrote in the blog in the past two years...

To use it:
Go on this page,
Watch the short instruction video,
download the application (MacOSX-Intel-x64 Win32)
and make yourself a model!
It takes just a couple of minutes and it's very simple...

This work is an academic research project, Please please, take the time to fill out the survey! It is very short..
The results of the survey (the survey alone, no photos of your work) will possibly be published in an academic paper.

Note: No information is sent anywhere in any way outside of your machine (you may even unplug the network). All results are saved locally on your computer, and no inputs are recorded or transmitted. The application contains no malware. The source is available here.

Note II: All stock photos of models used in the application are released under Creative Commons By-NC-SA 2.0 license. Creator: http://www.flickr.com/photos/kk/. If you wish to distribute your results, they should also be released under a CC-By-NC-SA 2.0 license.

Thank you!
Roy.

Share

A simple object classifier with Bag-of-Words using OpenCV 2.3 [w/ code]


Just wanted to share of some code I've been writing.
So I wanted to create a food classifier, for a cool project down in the Media Lab called FoodCam. It's basically a camera that people put free food under, and they can send an email alert to the entire building to come eat (by pushing a huge button marked "Dinner Bell"). Really a cool thing.

OK let's get down to business.
Continue reading "A simple object classifier with Bag-of-Words using OpenCV 2.3 [w/ code]"

Share

Iterative Closest Point (ICP) for 2D curves with OpenCV [w/ code]

ICP - Iterative closest point, is a very trivial algorithm for matching object templates to noisy data. It's also super easy to program, so it's good material for a tutorial. The goal is to take a known set of points (usually defining a curve or object exterior) and register it, as good as possible, to a set of other points, usually a larger and noisy set in which we would like to find the object. The basic algorithm is described very briefly in wikipedia, but there are a ton of papers on the subject.

I'll take you through the steps of programming it with OpenCV.
Continue reading "Iterative Closest Point (ICP) for 2D curves with OpenCV [w/ code]"

Share