an example of course project face identification
TRANSCRIPT
![Page 1: An Example of Course Project Face Identification](https://reader030.vdocument.in/reader030/viewer/2022032605/56649e845503460f94b85d72/html5/thumbnails/1.jpg)
An Example of Course Project
Face Identification
![Page 2: An Example of Course Project Face Identification](https://reader030.vdocument.in/reader030/viewer/2022032605/56649e845503460f94b85d72/html5/thumbnails/2.jpg)
Agenda
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Why Face Identification?
• Useful• Interesting• Creating own dataset for extra credits
![Page 4: An Example of Course Project Face Identification](https://reader030.vdocument.in/reader030/viewer/2022032605/56649e845503460f94b85d72/html5/thumbnails/4.jpg)
Data set
• The Extended Yale Face Database B– 2414 images of 38 human
• Own data – 100 images of 4 people
![Page 5: An Example of Course Project Face Identification](https://reader030.vdocument.in/reader030/viewer/2022032605/56649e845503460f94b85d72/html5/thumbnails/5.jpg)
Classifiers
• SVM (Support Vector Machine)– LIBSVM– Self Implemented SVM Optimizer
• ANN (Artificial Neural Network)
• Coded in Matlab
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Classifier Parameters
• SVM – Kennel functions
• ANN – Layers and units
![Page 7: An Example of Course Project Face Identification](https://reader030.vdocument.in/reader030/viewer/2022032605/56649e845503460f94b85d72/html5/thumbnails/7.jpg)
Feature Selection
• Raw pixels• Down-sampling pixels • Extracted features
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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
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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
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ANN Learn Rate
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Report
• 10 pages
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Schedule
3 2 2 3
Proposal
Prepare dataset
Data preprocessing
Algorithms implementation
2
Evaluation & Report
12 weeks total
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Lessons Learned
• Start early• Review each other’s work