Steerable PCA for Rotation-Invariant Image Recognition

DOI10.1137/15M1014930zbMath1326.92049OpenAlexW1773125178MaRDI QIDQ3192681

Frédéric Stauber, Cédric Vonesch, Michael Unser

Publication date: 13 October 2015

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/15m1014930

zbMATH Keywords

filterprincipal componentssteerable

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Steerable Principal Components for Space-Frequency Localized Images

Cites Work

• Canonical decomposition of steerable functions
• A Unifying Parametric Framework for 2D Steerable Wavelet Transforms
• Lie generators for computing steerable functions
• Optimal approximation of uniformly rotated images: relationship between Karhunen-Loeve expansion and discrete cosine transform
• Steerable Wavelet Frames Based on the Riesz Transform
• Computing Steerable Principal Components of a Large Set of Images and Their Rotations

This page was built for publication: Steerable PCA for Rotation-Invariant Image Recognition