The dimensionality of face space is measured objectively in a psychophysical study. Within this framework we obtain a measurement of the dimension for the human visual system. Usi...
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
In this paper, we propose an original framework for three dimensional face representation and matching for identification purposes. Basic traits of a face are encoded by extracti...
Gianni Antini, Stefano Berretti, Alberto Del Bimbo...