A neural network based retrainable framework for robust object recognition with application to mobile robotics.
Su-Yong AnJeong-Gwan KangWon-Seok ChoiSe-Young OhPublished in: Appl. Intell. (2011)
Keyphrases
- information retrieval
- mobile robotics
- object recognition
- mobile robot
- main contribution
- computer vision
- lightweight
- case study
- theoretical framework
- model driven
- conceptual framework
- image registration
- object class
- image understanding
- image features
- cognitive vision
- model based object recognition
- natural images
- probabilistic model
- low level
- expert systems
- high level
- image segmentation
- website
- genetic algorithm