Real-time Optimization for Visual Feature Identification
Real-time Optimization for Visual Feature Identification is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include face perception, mathematics, artificial intelligence, feature, stimulus, autofocus, computer vision, curse of dimensionality, feature, function iteration, pattern recognition, visual search, computer science, and visual perception. Validating the method, for the space of distorted face images, results demonstrated replicable convergence towards less-distorted images consistent with the facial selectivity of the N170 ERP signal.