Non-Orthogonal Binary Subspace and Its Applications in Computer Vision.
Hai TaoRyan CrabbFeng TangPublished in: ICCV (2005)
Keyphrases
- computer vision
- object recognition
- image understanding
- subspace learning
- computer vision algorithms
- image processing
- pattern recognition
- video surveillance
- vision system
- action recognition
- image features
- optical flow
- subspace clustering
- linear subspace
- image sequences
- image segmentation
- hamming distance
- image matching
- high dimensional data
- low dimensional
- dimensionality reduction
- machine learning
- feature selection
- face recognition
- feature space
- high dimensional
- perceptual organization
- feature extraction
- non binary
- feature vectors
- image analysis
- object detection
- object tracking
- computer graphics
- missing data
- principal component analysis
- pose estimation
- face detection