Compensating for visually missing features: Scale adaptive recognition of objects using probabilistic voting.
M. S. RyooJi Hoon JoungWonpil YuPublished in: URAI (2011)
Keyphrases
- occluded objects
- feature extraction
- object models
- recognizing objects
- feature values
- recognition accuracy
- visual objects
- recognition rate
- feature vectors
- image features
- recognition of partially occluded
- background clutter
- target object
- partial occlusion
- object recognition
- classification accuracy
- feature space
- image regions
- partially occluded objects
- bayesian networks
- geometric constraints
- invariant features
- low level
- object features
- computer vision
- spatial information
- objects in cluttered scenes
- scale invariant features
- individual objects
- object representation
- image retrieval
- recognition process
- d objects
- object model
- object classes
- keypoints
- spatial relationships
- human activities