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In this paper we describe experiments with a method to automatically estimate human age from facial images. This system extends recent results with the use of a tensorial representation from Gaussian receptive field responses for face recognition to the problem of estimating age. Among other results, we show that inclusion of fourth order Gaussian receptive fields can improve recognition. We describe an optimal tensorial configuration and compare the use of two different configurations with Multilinear Principal Component Analysis to reduce tensor order and Relevance Vector Machines as regressor. Experimental results are demonstrated for the FG-NET and the MORPH aging datasets.

“How old are you?” : Age Estimation with Tensors of Binary Gaussian Receptive Maps