Pictorial Recognition of Objects Employing Affine Invariance in the Frequency Domain
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Scale Autoconvolution for Affine Invariant Pattern Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Affine Invariant Features from the Trace Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Method for Generating Affine Moment Invariants
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Object Classification with Multi-Scale Autoconvolution
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Nonlinear functionals in the construction of multiscale affine invariants
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
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This paper introduces a new efficient way for computing affine invariant features from gray-scale images. The method is based on a novel image transform which produces infinitely many different invariants, and is applicable directly to isolated image patches without further segmentation. Among methods in this class only the affine invariant moments have as low complexity as our method, but as known they also possess many considerable weaknesses, including sensitivity to noise and occlusions. According to performed experiments it turns out that our novel method is more robust against these nonaffine distortions observed in image acquisition process, and even in practice its computation time is equivalent to that of the affine invariant moments. It is also observed that already a small subset of these new features is enough for successful classification.