FACE DETECTION - MATLAB CODE
FACE DETECTION:
clear all
clc
%Detect objects using Viola-Jones Algorithm
%To detect Face
FDetect = vision.CascadeObjectDetector;
%Read the input image
I = imread('HarryPotter.jpg');
%Returns Bounding Box values based on number of objects
BB = step(FDetect,I);
figure,
imshow(I); hold on
for i = 1:size(BB,1)
rectangle('Position',BB(i,:),'LineWidth',5,'LineStyle','-','EdgeColor','r');
end
title('Face Detection');
hold off;
The step(Detector,I) returns Bounding Box value that contains [x,y,Height,Width] of the objects of interest.
BB =
52 38 73 73
379 84 71 71
198 57 72 72
NOSE DETECTION:
%To detect Nose
NoseDetect = vision.CascadeObjectDetector('Nose','MergeThreshold',16);
BB=step(NoseDetect,I);
figure,
imshow(I); hold on
for i = 1:size(BB,1)
rectangle('Position',BB(i,:),'LineWidth',4,'LineStyle','-','EdgeColor','b');
end
title('Nose Detection');
hold off;
EXPLANATION:
To denote the object of interest as 'nose', the argument 'Nose' is passed.
vision.CascadeObjectDetector('Nose','MergeThreshold',16);
The default syntax for Nose detection :
vision.CascadeObjectDetector('Nose');
Based on the input image, we can modify the default values of the parameters passed tovision.CascaseObjectDetector. Here the default value for 'MergeThreshold' is 4.
When default value for 'MergeThreshold' is used, the result is not correct.
Here there are more than one detection on Hermione.
To avoid multiple detection around an object, the 'MergeThreshold' value can be overridden.
MOUTH DETECTION:
%To detect Mouth
MouthDetect = vision.CascadeObjectDetector('Mouth','MergeThreshold',16);
BB=step(MouthDetect,I);
figure,
imshow(I); hold on
for i = 1:size(BB,1)
rectangle('Position',BB(i,:),'LineWidth',4,'LineStyle','-','EdgeColor','r');
end
title('Mouth Detection');
hold off;
EYE DETECTION:
%To detect Eyes
EyeDetect = vision.CascadeObjectDetector('EyePairBig');
%Read the input Image
I = imread('harry_potter.jpg');
BB=step(EyeDetect,I);
figure,imshow(I);
rectangle('Position',BB,'LineWidth',4,'LineStyle','-','EdgeColor','b');
title('Eyes Detection');
Eyes=imcrop(I,BB);
figure,imshow(Eyes);
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| Cropped Image |
