Principal component analysis of image gradient orientations for face recognition
(2011)
Presentation / Conference Contribution
Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2011). Principal component analysis of image gradient orientations for face recognition.
We introduce the notion of Principal Component Analysis (PCA) of image gradient orientations. As image data is typically noisy, but noise is substantially different from Gaussian, traditional PCA of pixel intensities very often fails to estimate reli... Read More about Principal component analysis of image gradient orientations for face recognition.