Wellesley College is proud to have some very distinguished alumnae! For this
problem, you'll write a program to recognize the faces of three of our special
graduates: Madeleine Albright '59, Hillary Clinton '69 and Pamela Melroy '83.
The assign3_programs folder contains three face images whose
identity is assumed to be known (albright.jpg, clinton.jpg, melroy.jpg)
and three face images to be recognized by your program (face1.jpg,
face2.jpg, face3.jpg). The file recognize.m contains
initial code that loads the six face images into variables in the MATLAB workspace
and displays them using subplot and imshow
(the top three images are the known faces and the bottom images are the
"unknown" faces):
In lecture, we explored the problem of fingerprint identification and
discovered the shocking truth that Sohie is behind the recent string of crimes
in the CS department! Given a partial fingerprint lifted from the crime scene,
stored in the variable finger, and Sohie's partial fingerprint
stored in the variable sohie, we calculated the average difference
between the brightness values stored in the two images:
After computing this difference for our other suspects Randy and Scott, we
determined that Sohie's fingerprint was the closest match!
Using the same strategy for calculating how well the pattern of brightnesses
match between two images, first add code to the Real face recognition systems face many challenges: hair styles change, and faces
appear with different expressions, poses and directions of gaze, and with different
backgrounds and lighting. To cope with variations in hair styles and backgrounds,
the recognition process is often based on a cropped area of the face that excludes
the hair and background. For this part of the problem, you'll attempt to recognize
the three faces using a cropped region of the faces that includes only the eyes,
nose and mouth. The original images were carefully constructed so that they
have the same overall size, with the region around the eyes, nose and mouth
covering roughly the same area of each image. Create a set of six new variables
that each store a small region of one of the original face images containing only the
eyes, nose and mouth. Use the same coordinates for the upper left and lower
right corners of the rectangular region that you select for all six images.
Use Repeat your code (with modifications to use the cropped images) to recognize
the cropped versions of the Be sure to add comments to your sohieDiff = mean(mean(abs(finger-sohie)));
Recognition using the full image
recognize.m
code file to calculate the average difference between the
face1 image and each of the three known face images stored in
the variables albright, clinton and melroy. Then
add code to determine which of the three known faces is the best match to
face1 using the three average differences that you calculated.
Print a message indicating the identity of face1. Then repeat this
process for the unknown faces stored in face2 and face3.
Tip: cutting and pasting, and then making small modifications to
the copied code, will save a lot of time!. Your program should be
able to recognize the faces correctly.
Recognition using partial images
imtool to help identify appropriate coordinates
(as you move your mouse over the image displayed with imtool,
the (X,Y) coordinates of the mouse are displayed in the lower left
corner of the display window - remember that the order of these
coordinates should be reversed when specifying the row and column of the
corresponding locations of the matrix storing the image). Using subplot
and imshow, display the six cropped images, as shown in the
example below (again, consider copying and pasting code here!):
face1, face2 and face3
images. Are you still able to recognize the three faces correctly?
recognize.m code file.