Smart Visual Sensing Using a Software Retina Model

We present an approach to efficient visual sensing and perception based on a non-uniformly sampled, biologically inspired, software retina that when combined with a DCNN classifier has enabled megapixel-sized camera input images to be processed in a single pass, while maintaining state-of-the recognition performance.