Active Object Recognition with a Space-Variant Retina
Figure 11
Mean per-class accuracy on the AR Face dataset of our approach compared with the methods of [10, 34, 35]. Chance performance is . Kanan and Cottrell [10] used a nonfoveated model of active vision (see discussion). Pinto et al. [35] used V1 + Gabor features with a linear SVM.