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Abstract: Images of faces, represented as high-dimensional pixel arrays, often belong to a manifold of intrinsically low dimension. Face recognition, and computer vision research in general, has witnessed a growing interest in techniques that capitalize on this observation, and apply algebraic and statistical tools for extraction and analysis of the underlying manifold. In this chapter we describe in roughly chronological order techniques that identify, parameterize and analyze linear and nonlinear... (Update)
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BibTeX entry: (Update)
@misc{ shakhnarovich-face,
author = "Gregory Shakhnarovich and Baback Moghaddam",
title = "Face Recognition in Subspaces",
url = "citeseer.ist.psu.edu/shakhnarovich04face.html" }
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