Abstract: We present a biologically-inspired early vision network that is well-suited to highly active and responsive vision platforms. The network exploits normally undesirable camera motion as a necessary step in detecting image contrast. It also detects visual motion, producing distinctive signals from which useful image motion parameters are extracted. The network remains sensitive over a very wide dynamic range of inputs, and has self- calibrating properties that make it amenable to analog VLSI implementation. The results also support the hypothesis that vertebrate cones function primarily as detectors of contrast and motion, rather than intensity. Experiments verify that naturally occurring jitter in a motor-mounted camera, instead of being avoided, can be exploited in early visual processing.!18
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