Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition Tasks.

Recently, a number of empirical studies have compared the performance of PCA and ICA as feature extraction methods in appearance-based object recognition systems, with mixed and seemingly contradictory results. In this paper, we briefly describe the connection between the two methods and argue that whitened PCA may yield identical results to ICA in some cases. Furthermore, we describe the specific situations in which CA might significantly improve on PCA. [ABSTRACT FROM AUTHOR]