Group theoretical methods in image processing
Group theoretical methods in image processing
Computation of component image velocity from local phase information
International Journal of Computer Vision
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image matching using the windowed Fourier phase
International Journal of Computer Vision
A lie group approach to steerable filters
Pattern Recognition Letters
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Canonical Decomposition of Steerable Functions
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Pyramidal implementation of deformable kernels
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Shiftable multiscale transforms
IEEE Transactions on Information Theory - Part 2
Canonical Decomposition of Steerable Functions
Journal of Mathematical Imaging and Vision
Image Distortion Analysis Using Polynomial Series Expansion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Script Identification Using Steerable Gabor Filters
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
On steerability of Gabor-type filters for feature detection
Pattern Recognition Letters
Steerable weighted median filters
IEEE Transactions on Image Processing
Approximate steerability of gabor filters for feature detection
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Rotation-Invariant texture classification using steerable gabor filter bank
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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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.