Comments on: Face Detection on the OLPC XO

By: titus

titus — Tue, 31 Aug 2010 11:21:08 +0000

u r looking good

By: Rodrigo Arce » Crawler de caras

Rodrigo Arce » Crawler de caras — Sat, 16 Jan 2010 20:03:48 +0000

[...] liberó Intel. Después de leer fallidamente la documentación varias veces encontré un código de Detección de Caras para la OLPC de Nirav Patel desarrollado en Python que pude hacer funcionar y entender. Así que me puse las [...]

By: Mitchell

Mitchell — Tue, 04 Nov 2008 07:25:50 +0000

http://wiki.laptop.org/go/OpenCV has been updated with a pointer to http://code.google.com/p/ehci/ , which uses opencv for head and hand tracking. Python api.

By: In Traction » Blog Archive » Fun with Python, OpenCV and face detection

Fri, 27 Jun 2008 13:08:36 +0000

[...] know where to start, so I searched for existing OpenCV face detection examples. I found a blog post by Nirav Patel explaining how to use OpenCV’s official Python bindings to perform face detection. Nirav will [...]

By: OpenCV Framework for Computer Vision « js0n’s weblog

OpenCV Framework for Computer Vision « js0n’s weblog — Sun, 20 Apr 2008 07:10:47 +0000

[...] for Computer Vision Posted in Technology by js0n on April 20th, 2008 I ran across this article and thought it’d be cool to try out that script on my machine. After playing around with [...]

By: Henning

Henning — Sat, 19 Apr 2008 23:39:15 +0000

Looks cool. Are there any plans to extend this to face _recognition_?
I have found http://opencvlibrary.sourceforge.net/FaceRecognition but for me the information is too incomplete to implement it

By: nrp

nrp — Sat, 19 Apr 2008 17:34:06 +0000

I did. This is an old post. The last OpenCV release, the one for which there is a package in the Fedora 7 repository, is incompatible with the camera on the XO. So, the script in this post uses xawtv to capture the image and then does face detection in OpenCV.

Since then, I’ve figured out how to patch OpenCV to work with the camera, so this script is now unnecessary (and slow).

By: Ken

Ken — Sat, 19 Apr 2008 16:25:39 +0000

Last time I checked, OpenCV comes with an example python script that does face recognition on a live stream. Too lazy to dig out my XO and try it just now, but did you try that before writing your own?

By: Birgi Tamersoy

Birgi Tamersoy — Sun, 30 Mar 2008 01:35:39 +0000

Hey Nirav,
I am a graduate student in University of Texas – Austin (ECE). I am also interested in computer vision, image processing and pattern recognition. I saw this link while I was looking for a GSOC project. Do you have a specific project in your mind about computer vision for GSOC? Please let me know.
Regards,
Birgi

By: nrp

nrp — Sun, 23 Mar 2008 04:09:27 +0000

The algorithm is the Haar-based one from OpenCV. It compares Haar features in an image to ones in a precomputed file that was created by training it with thousands of images of the object and many thousands more of objects that were not it. Thus, the accuracy depends entirely on the quality of the precomputed Haar data and the quality of the image face detection is being performed on.

I’ve found it to be fairly accurate in decent lighting. With low light, theres enough sensor noise that increasing contrast isn’t enough have clear features in the image. The accuracy also depends on how much computing time you want to put into it. Longer=better. Basically, it’s accurate, unless its not accurate enough for what you’re trying to do