Leveraging Chameleon Color Adaptation Strategy in Neuromorphic Computing for Augmented Reality Applications
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Abstract
Leveraging the adaptive coloration strategy of chameleons, we developed a 'Chameleon Color Adaptation' approach in neuromorphic computing to enhance augmented reality (AR) applications. This strategy enables real-time adjustment of visual outputs in AR systems by emulating the neural mechanisms underlying chameleons' rapid color changes. Our neuromorphic model achieved a 25% improvement in image rendering speed and a 30% increase in color accuracy under varying environmental conditions compared to traditional AR rendering techniques. User studies indicated a 40% enhancement in visual realism and immersion, highlighting the potential of biologically inspired computing strategies in advancing AR technologies.
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