Random ensemble metrics for object recognition.
Tatsuo KozakayaSatoshi ItoSusumu KubotaPublished in: ICCV (2011)
Keyphrases
- object recognition
- entropy measure
- computer vision
- feature detection
- image understanding
- random subspaces
- randomized trees
- random forests
- ensemble learning
- template matching
- neural network
- object categorization
- similarity metrics
- feature matching
- image classification
- genetic algorithm
- constrained search
- visual object recognition
- majority voting
- scene classification
- visual recognition
- training set
- natural images
- d objects
- training data
- ensemble methods
- image features
- classifier ensemble
- object detection
- keypoints
- image segmentation
- biologically motivated
- evaluation metrics
- shape recognition
- viewpoint
- quality metrics
- model construction
- object classification