A combination of spatiotemporal ica and euclidean features for face recognition

In the preparation of this report, the Venice Commission has relied on the comments of its rapporteurs; its recently adopted Report on Respect for Democracy, Human Rights and the Rule

Pulse Sequence Programming for Fast Imaging: MRI is one of the imaging techniques widely used for the acquisition of the phase contrast images required for the analysis of

As to the experiments, we have studied the effect of training and testing with images acquired at different dis- tances using two classical face recognition approaches (DCT-GMM-

BaVeL is used in combination with a consistency framework, providing support for all the verification life cycle: acqui- sition of additional input data, transformation of the

We use for our experiments two recognition approaches exploiting information at the global and local levels, and the Biose- curlD database, containing 3,724 signature images and

Results relate to the comparative analysis of both BTime and BSpace feature approaches, their fusion, and some other important aspects such as the influence of the quantity of data

Classification methods using invariant features As an alternative to direct image classification methods, which require strong pre-processing, we use SIFT invariant features

The analysis of spatiotemporal properties and organization of cortical vi- sual neurons, together with the indications given by experimental results on visual spatial and