Abstract
The RoboCup competition has brought back to attention the classification of objects in a controlled illumination environment. We present a very fast classifier to achieve image segmentation. Our methods are based on the machine literature, but adapted to robots equipped with low cost image-capture equipment. We then present new fast methods for object recognition, based on also rapid methods for blob formation. We describe how to extract the skeleton of a polygon and we use this for object recognition.
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Estivill-Castro, V., Lovell, N. (2003). Improved Object Recognition – The RoboCup 4-Legged League. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_163
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DOI: https://doi.org/10.1007/978-3-540-45080-1_163
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