Issue No. 06 - June (1999 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.771325
<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>
Steerable filters, filter design, low-levelvision, pattern analysis.
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. , pp. 552-556, June 1999, doi:10.1109/34.771325