Computer vision teaches machines to process imagery in ways similar to what humans can do. This field has enjoyed tremendous advances over the past three decades, where the state of the art has shifted paradigms several times, from unsupervised morphological imaging, to hand-crafted supervised learning, and now deep learning, automated feature crafting, semantic object detection and generative adversarial models. Many tasks and business processes that were thought impossible to automate a decade ago are now possible. Advancements are occurring so quickly that new philosophical questions are raised about the true meaning of video, imagery, and authenticity.
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