Fast Appearance Based Object Recognition: A Hybrid Approach
Visual object recognition is a useful skill for robots to possess. However, present approaches to the problem do not scale to large numbers of objects (few manage more than 10) and require too much computation for real-time tasks on a robot. This paper presents a hybrid decision tree/support vector machine approach to recognition which is fast, with recognition times under one second. A new test dataset is also presented, consisting of over 100,000 images of Lego bricks, acquired by repeatedly...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2005 IEEE International Conference on Robotics and Automation|
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