an example of course project face identification
TRANSCRIPT
An Example of Course Project
Face Identification
Agenda
Why Face Identification?
• Useful• Interesting• Creating own dataset for extra credits
Data set
• The Extended Yale Face Database B– 2414 images of 38 human
• Own data – 100 images of 4 people
Classifiers
• SVM (Support Vector Machine)– LIBSVM– Self Implemented SVM Optimizer
• ANN (Artificial Neural Network)
• Coded in Matlab
Classifier Parameters
• SVM – Kennel functions
• ANN – Layers and units
Feature Selection
• Raw pixels• Down-sampling pixels • Extracted features
Compare Kernel Functions
exp(|uv|^2)
u'*v tanh(u'*v)
(u'*v)^2 (u'*v)^360.00%
65.00%
70.00%
75.00%
80.00%
85.00%
90.00%
95.00%
100.00%
LIBSVM Multi-classifierImproved one-vs-all
Compare Feature Numbers
10 100 1000 10000 10000080.00%
85.00%
90.00%
95.00%
100.00%
105.00%
0
500
1000
1500
2000
2500
AccuracyTime
Feature Number
ANN Learn Rate
Report
• 10 pages
Schedule
3 2 2 3
Proposal
Prepare dataset
Data preprocessing
Algorithms implementation
2
Evaluation & Report
12 weeks total
Lessons Learned
• Start early• Review each other’s work