How to convert an image frame of Facial extracted features to a 0-1 matrix...????

How to convert an image frame of Facial extracted features to a 0-1 matrix...????

Here 0-1 means , wherever the extracted features are plotted on the image , there the matrix value should be 1, otherwise 0 anywhere else.....

Like in this link, the detected features are plotted on the image.....

http://www.mathworks.in/help/vision/examples/face-detection-and-tracking-using-the-klt-algorithm.html

So, how can I change the facial features wherever in the image to 1 and except it, the other values should be zero.....

[FARAH ANSARI]

Actually Sir, After running this code, it is generating only a matrix of my image Frame size of zeros.... But I want to make a matrix of those feature values, which I detect from an image and mark those features on that given previous image..... The detected features should be marked as '1' and the other values should be '0' in the matrix.... Now please try to write another code....thank U..... like if the features detected are giving the value in Frame as: - 132 234

234 223

234 55

54 67

76 98

65 244

it should give the value like

1 0

0 1

0 0

0 1

1 0

1 1

1 0

where all '1s' are the detected feature values and the rest value should be '0' in matrix....

[Image Analyst]

I don't understand what those numbers are. Are they x,y coordinates of salient points? What is the 1,0 matrix? It's not an image, so what is it? What if the features are the area of the head, the length of the nose, the mean color of the face, and the distance between the eyes. How would you handle that?

Answer 1

[Image Analyst]

Obviously, first, you must have a list of the x,y coordinates of the features. So then just make a matrix and assign them

featureLocations = zeros(size(grayImage));
for k = 1 : length(y)
  featureLocations (y(k), x(k)) = 1;
end

It's as simple as that.