Hi there, this is a new tutorial category in my blog. It's Computer Vision. In this blog, I'd like to show you something cool. It's how to perform
Face Detection using your camera / Webcam. You'll see how your application can detect faces from a captured image. Curious about it?
Let's take a look how to do that.
This what you need to follow this tutorial:
- Microsoft Visual Studio 2010. Or if you don't have one, you can use 2008 version
- Emgu CV (OpenCV in .NET). You can download the latest version in this
link: http://www.emgu.com/wiki/index.php/Main_Page and follow the installation instruction
- Basic Knowledge of C# Programming
- Familiar in WPF Development
After you've got what you need, it's time to rock!
- First thing you should do is installing Emgu CV. Your installation path should be like
C:\Emgu\emgucv-windows-x86 220.127.116.110. And you can see inside C:\Emgu\emgucv-windows-x86 18.104.22.1680\bin some DLLs and sample programs.
You can see a simple face detection app Example.FaceDetection.exe and you'll see something like the first picture in this post.
- Next, let's open your Visual Studio and create a new WPF Project. Add some references and make sure it'll look like the picture below:
- Now, copy code below to make our user experience. Put this code in your MainWindow.xaml file.
Title="MainWindow" Height="600" Width="800" Loaded="Window_Loaded">
<Image Name="image1" Stretch="Fill" />
- Next, let's code it! Open your MainWindow.xaml.cs and add this code on top.
- Initialize two objects
HaarCascade. Those are important class in this tutorial,
so you have to make it. And we also need
DispatcherTimer to capture the picture every millisecond.
private Capture capture;
private HaarCascade haarCascade;
private void Window_Loaded(object sender, RoutedEventArgs e)
capture = new Capture();
haarCascade = new HaarCascade(@"haarcascade_frontalface_alt_tree.xml");
timer = new DispatcherTimer();
timer.Tick += new EventHandler(timer_Tick);
timer.Interval = new TimeSpan(0, 0, 0, 0, 1);
- This last part is the routine. What this code will do is capture image every millisecond, and then convert it to gray frame.
After converted, faces will be detected. Each detected faces will be marked by black rectangular.
void timer_Tick(object sender, EventArgs e)
Image<Bgr,Byte> currentFrame = capture.QueryFrame();
if (currentFrame != null)
Image<Gray, Byte> grayFrame = currentFrame.Convert<Gray, Byte>();
var detectedFaces = grayFrame.DetectHaarCascade(haarCascade);
foreach (var face in detectedFaces)
currentFrame.Draw(face.rect, new Bgr(0, double.MaxValue, 0), 3);
image1.Source = ToBitmapSource(currentFrame);
- Finally, this additional code is needed to convert plain
Bitmap class to
BitmapSource so WPF can read it as an image and
view it on
private static extern int DeleteObject(IntPtr o);
public static BitmapSource ToBitmapSource(IImage image)
using (System.Drawing.Bitmap source = image.Bitmap)
IntPtr ptr = source.GetHbitmap();
BitmapSource bs = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap(
DeleteObject(ptr); return bs;
- Here is the result of our work:
Okay, I think that's all I can do in this post. See you to my next post. Keep blogging and fighting ^^.
Note: If you can't run your project, just build it and make sure all opencv_xxxx.dll files
and haarcascade_frontalface_alt_tree.xml in the same directory with your executable file. You can find those files inside