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In this paper, we present a novel approach for mobile augmented reality system. We estimate the 3D camera pose by detecting local invariant image features and combining them with the camera's accelerometer data. We applied NELFD - Neuroevolved Local Feature Descriptor that encodes data around points of interest in the image using a neural network with evolved topology and weights. For every image...