Announcements
Recognition
Recognition
Recognition problems
Face detection
One simple method: skin detection
Skin detection
Skin classification
techniques
Probability
Probabilistic skin
classification
Learning conditional
PDF’s
Learning conditional
PDF’s
Bayes rule
Bayesian estimation
Skin detection results
General classification
Linear subspaces
Dimensionality reduction
Linear subspaces
Principal component
analysis
The space of faces
Dimensionality reduction
Eigenfaces
Projecting onto the
eigenfaces
Recognition with
eigenfaces
Choosing the dimension K
Issues: metrics
Metrics
Issues: feature selection
Issues: data modeling
Generative vs.
Discriminative
Issues: dimensionality
Other Issues
Issues: speed
Viola/Jones: features
Integral Image (aka. summed area table)
Viola/Jones: handling scale
Viola/Jones: cascaded classifiers
Cascaded Classifier
Viola/Jones results: