Updating approximate principal components with applications to template tracking.
Geunseop LeeJesse L. BarlowPublished in: Numer. Linear Algebra Appl. (2017)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- deformable templates
- dimensionality reduction
- real time
- principal components analysis
- dynamically updated
- kernel space
- hyperplane
- covariance matrix
- template matching
- principal component regression
- input image
- particle filter
- spectral data
- deformable objects
- neural network
- object tracking
- matching algorithm
- machine learning
- appearance model
- kalman filter
- pattern recognition
- decision trees