Balu Ramamurthy Brian Lewis December 15, 2011

paraderollAI and Robotics

Nov 17, 2013 (3 years and 8 months ago)

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Balu

Ramamurthy

Brian Lewis

December 15, 2011


Facial recognition is growing security concern



Best recognition algorithm is human brain



Wanted to find a way to use brain information
in recognition



If we identify areas humans use to recognize
faces, we can get unique results in algorithms


Biometrics Background


Eye Tracking Experiment


Facial Recognition Experiment


Facial Recognition Results


Conclusion


Future Work




2 types of biometrics, identification and
verification



Verification consists of confirming an identity



Identity comes from selecting correct person
from a group of candidates



Current algorithms use features extracted from
images


Used 10 males and 10 females



Ran identification and verification experiments



Females much better at identifying faces



Conducted identification and verification
experiments


2 Normalized faces shown to participant



Participant asked to say if same person or
different person


Participant looks at image of face for as long as
needed.


Then shown 2 by 3 grid of normalized faces to
identify correct face



Each correct image broken up in to 7 by 7 grid



Percentage of fixations for each block extracted.





Experiment 1 gave each block equal
distribution


Experiment 2 blocks weighted 0
-
3 with equal
number of blocks in each weight


Experiment 3 blocks given weights of 0
-
4 based
on fixation percentages


Experiment 4 only blocks of 100% fixation were
used in algorithms


No significant recognition rate improvement



Blocks with 100% fixation account for 50% of
accuracy



Trial and error in experiments 3 and 4 give
hope for future work


Develop algorithm to properly weight boxes



Look at using new tasks for eye tracking



Try new facial recognition algorithms on data



Run experiments using specific facial regions