by Antonio B. Torralba, Jeanny Herault
http://web.mit.edu/torralba/www/micro99.pdf
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Abstract:
The problem of actual vision machines on VLSI is the implementation of a large set of linear lters selective to features such as edges, corners, orientations, motion. This procedure requires large arrays of lters with complex structures. In order to reduce thecomplexity, we propose to implement a simple basis of lters able to generate more complex lters such as oriented quadrature band-pass lters, quadrature wedge lters, velocity tuned lters. The current basis consists of asymmetrical lters implemented with Cellular Neural Networks having only one layer and interactions with four neighbors. We show that this basis generates relevant lters for vision applications and show how the particular structure of the lters basis allows the direct implementation of spatio-temporal lters with a low aditional cost. 1.
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