Abstract
A class of adaptive grid size algorithms, called pyramid algorithms, have received much attention in recent years for computer vision applications. Special hardware architectures which are optimal for grid resolution transformations have been proposed to implement these algorithms. In this chapter analysis techniques are described which measure the effectiveness of different architectures. A comparison is made between the more conventional planar or flat architecture and the optimal pyramid architecture. It is shown that in many cases the additional hardware of the pyramid scheme offers little improvement in performance.
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© 1986 Springer-Verlag Berlin Heidelberg
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Reeves, A.P. (1986). Pyramid Algorithms on Processor Arrays. In: Cantoni, V., Levialdi, S. (eds) Pyramidal Systems for Computer Vision. NATO ASI Series, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82940-6_13
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DOI: https://doi.org/10.1007/978-3-642-82940-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-82942-0
Online ISBN: 978-3-642-82940-6
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