Recognition of Occluded Faces Based on Multi-subspace Classification.
Pawel ForczmanskiPiotr LabedzPublished in: CISIM (2013)
Keyphrases
- feature extraction
- pattern recognition
- automatic recognition
- object classification
- classification accuracy
- expression recognition
- feature space
- recognition rate
- decision trees
- handwritten digits
- recognition accuracy
- high recognition rate
- image classification
- unsupervised learning
- support vector machine svm
- support vector
- pattern classification
- classification method
- recognition process
- object tracking
- face identification
- support vector machine
- occluded objects
- feature vectors
- feature selection
- preprocessing stage
- partially occluded
- correct recognition
- computer vision
- kernel based nonlinear
- subspace clustering
- character recognition
- training samples
- dimensionality reduction
- face images
- supervised learning
- data points
- object recognition
- face recognition