Visual Learning and Recognition of 3-D Objects using Two Dimensional Fisher's Linear Discriminant Analysis: A Robust and an Efficient Approach.
B. H. ShekarD. S. GuruP. NagabhushanPublished in: IICAI (2005)
Keyphrases
- d objects
- visual learning
- linear discriminant analysis
- object recognition
- fisher criterion
- linear discriminant
- subspace learning
- three dimensional
- discriminant analysis
- three dimensional objects
- dimensionality reduction
- principal component analysis
- face recognition
- recognition and pose estimation
- viewpoint
- invariant recognition
- integrating multiple
- feature extraction
- dimension reduction
- shape descriptors
- high dimensional data
- multiple views
- computer vision
- support vector
- feature space
- object representation
- object classes
- support vector machine svm
- subject matter
- facial expression recognition
- unsupervised learning
- pattern recognition
- line drawings
- object categories
- feature selection
- manifold learning
- recognition rate
- image representation