Image analysis with two-dimensional continuous wavelet transform
Signal Processing
Junction classification by multiple orientation detection
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Steerable filters and invariance theory
VIP '94 The international conference on volume image processing on Volume image processing
Steerable-Scalable Kernels for Edge Detection and Junction Analysis
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Shiftable multiscale transforms
IEEE Transactions on Information Theory - Part 2
A hierarchical filter scheme for efficient corner detection
Pattern Recognition Letters
Canonical Decomposition of Steerable Functions
Journal of Mathematical Imaging and Vision
Design of Multiparameter Steerable Functions Using Cascade Basis Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Steerable illumination textures
ACM Transactions on Graphics (TOG)
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Rotated Wedge Averaging Method for Junction Classification
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
On steerability of Gabor-type filters for feature detection
Pattern Recognition Letters
Computers and Electrical Engineering
Accurate image rotation using Hermite expansions
IEEE Transactions on Image Processing
Wavelet steerability and the higher-order Riesz transform
IEEE Transactions on Image Processing
Approximate steerability of gabor filters for feature detection
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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Recently, Freeman and Adelson (1991) and Simoncelli et al. (1992) published an approach to steer filters in their orientation and scale by Fourier decompositions. We present a generalization of their formalism based on Lie group theory. Within this framework we especially clarify the following points: (I) the possible scope of steerability by Fourier decompositions. (2) approximate steerability with a limited number of basis functions, (3) the singularity that occurs when steering the scale.