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Tag: image processing

Facial transformation framework on the iPhone

More than a year ago, I was playing with some Computer Vision algorithms, and I posted this: Active Appearance Models in C++ (Paamela). The framework I built back then was a bit more complete than a simple AAM implementation, and actually I went up to the point where I was able to transform the sex, age and ethnicity of a person in a picture. The code was basically sitting there, taking dust in my hard drive. I had been willing to try some Objective-C and mobile development for some time. With the use of some magic (and good cross-compiling skills), I have been able to port the code from Linux to the iPhone. I now have a fully functioning facial transformation framework running on the iPhone!

Image segmentation using the Lambertain color model

As part of my research on image segmentation, I have explored different methods for selecting areas in an image. Recently, I found a statistical color model based upon Lambertain surface reflectance. I have implemented this model using OpenCV 2.1. This article presents the results of some experiments I have run, along with my personal feelings about the model. At the end of the article, you will find links to the source code and to the research papers I used.

Active Appearance Models in C++ (Paamela)

My implementation of the Active Appearance Models (AAMs) in C++ is almost done, it is called Paamela. I am currently fixing a couple design issues and finishing up the documentation. Even though I am still not sure whether or not I will make the code open source, I thought it would be nice to share what I have developed so far, in order to help other developers working on similar problems.