Design of multiparameter steerable functions using cascade basis reduction
Patrick C. Teo, Yacov Hel-Or · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1999
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.