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21 Apr 2011 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

20 Apr 2011 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Hi Sebastien,
Thank you for your quick response. As I understand, these 2 files, viola_24x24, and jesen_24x24, are face databse in gray scale. Matrix x is face image, and y is idicator whether or not it's a posotive or negative. Am I right?
For increasing efficient of detection, I'd read some papers, one of them is:
Joint Haar-like Features for Face Detection
URL: dtpapers.googlecode.com/files/01544911.pdf
The paper above is introduce some extend Haar-like feature to improve efficience of detection. So, I wonder where you define Haar-like feature, and how you define them.

Thank you,

Van Quach

20 Apr 2011 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Hi Paris,
Your code is very great. I learn a lot from your code. Regard to training haar detector, as I understood, before running train_cascade, we have to have 2 matrix: jensen_24x24 and viola_24x24 for detecting face. However, in my project, I intend to detect user's eyes, not the face. Could you please give me a hint how to create the matrix for training Haar detector? For more detail, I don't know how to create Xpos matrix for detecting eye:
----------------------
load viola_24x24
Xpos = X(: , : , find(y == 1));
load jensen_24x24
Xpos = cat(3 , Xpos , X(: , : , find(y == 1)));

...

[options , model] = train_cascade(Xpos , options);

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Thank you for your hard working :)

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