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Efficient image alignment using linear appearance models

Published in 2009 IEEE Conference on Computer Vision and Pattern Recognition • Jun 1, 2009
NobleIDNI2P13W06R72S23
Authors:
José Luis González–Mora
,
Nicolás Guil
,
Emilio L. Zapata

Abstract

Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigen-tracking) are one of the most popular approaches to align templates with appearance variations (e.g. illumination, iconic changes). A number of well known tracking algorithms have been pro...

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