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Issue No.06 - June (1999 vol.21)
pp: 552-556
ABSTRACT
<p><b>Abstract</b>—An efficient method of computing the least-squares optimal basis functions to steer any function locally is presented. The method combines the Lie group-theoretic and the singular value decomposition approaches. Its efficiency is demonstrated with the design of basis functions to steer a Gabor function under the four-parameter linear transformation group.</p>
INDEX TERMS
Steerable filters, filter design, low-levelvision, pattern analysis.
CITATION
Patrick C. Teo, Yacov Hel-Or, "Design of Multiparameter Steerable Functions Using Cascade Basis Reduction", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.21, no. 6, pp. 552-556, June 1999, doi:10.1109/34.771325
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