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Blog posts : "face detection"

Level 3e - How to Extract the Detected Faces From Input Image

April 30, 2012

LEARNING OBJECTIVE:
Once faces have been detected from an input image, extract each single face out and save to a folder OR view on the windows form in a picturebox

NOTE: we're starting off with modifying the Camera Capture application, right where we left it at the end of Level 3d. how we connected to camera, got an input image, detected faces and marked them in boxes and displayed them - to know all that, please have a detailed look at Level 1 and then  Level 3a to Level 3d

STEP 1:  If you still haven't then Add a button to "Browse For Input Image" on your application.

STEP 2:  Insert the Co…

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Level 3d - Add Parameter Tuning Features To Face Detection

January 19, 2012

TO DO:
NOT ALL FACES DETECTED? OR FACE DETECTION IS NOT UP TO YOUR REQUIREMENTS?
THEN ADD THE FEATURES(CODE) AS EXPLAINED IN THIS TUTORIAL, TO IMPROVE face detection according to your requirements by "Varying"/"Tuning" the parameter values of DetectHaarCascade(), by user input and see the differenc…

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Level 3b - Live Multiple Face Detection

December 30, 2011

 PROBLEM STATEMENT:
 
Make a Windows Form Application in C# using EmguCV library, such that
1- it gets an input image from a live web camera OR from some folder by loading/reading it.
2- detects faces (one or many) in the input image.
3- and shows these detected faces in the image by marked rectangl…

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Level 3a - Getting Ready For Face Detection

December 23, 2011

We'll be off to begin face detection right after This article.
It will give you the basic concept and preliminary information you should  have before starting face detection implementation!

 

LEARNING AGENDA

NOTE: Firstly, Get Yourself a Copy of 'Learning Open CV'
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4 blog posts