A neuro-dynamic architecture for one shot learning of objects that uses both bottom-up recognition and top-down prediction.
Christian FaubelGregor SchönerPublished in: IROS (2009)
Keyphrases
- prediction accuracy
- object models
- figure ground segmentation
- recognition accuracy
- object model
- object recognition
- recognition rate
- neural network
- recognition of partially occluded
- objects in cluttered scenes
- dynamic environments
- d objects
- pattern recognition
- management system
- high level
- partial occlusion
- attention mechanism
- feature extraction
- object representations
- focus of attention
- real time
- partially occluded objects
- occluded objects
- image sequences
- object description
- prediction error
- recognition algorithm
- prediction model
- software architecture
- moving objects
- virtual organization
- recognition process
- three dimensional objects
- face recognition
- hand gestures
- neuro fuzzy