Fast Steerable Principal Component Analysis

2 Dec 2014Zhizhen ZhaoYoel ShkolniskyAmit Singer

Cryo-electron microscopy nowadays often requires the analysis of hundreds of thousands of 2D images as large as a few hundred pixels in each direction. Here we introduce an algorithm that efficiently and accurately performs principal component analysis (PCA) for a large set of two-dimensional images, and, for each image, the set of its uniform rotations in the plane and their reflections... (read more)

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