Subspace based object recognition using Support Vector Machines.
Osman Gokhan SezerAytül ErçilMehmet KeskinozPublished in: EUSIPCO (2005)
Keyphrases
- object recognition
- d objects
- computer vision
- low dimensional
- object categorization
- subspace learning
- natural images
- subspace clustering
- subspace methods
- linear subspace
- principal component analysis
- feature detection
- high dimensional data
- constrained search
- image understanding
- template matching
- high dimensional
- feature space
- image matching
- clustering high dimensional data
- dimensionality reduction
- object classification
- learning to classify
- object categories
- model based object recognition
- object detection
- lower dimensional
- data sets
- pattern recognition
- kernel based nonlinear
- scene classification
- object class
- principal components
- image features