Augmented, mixed and virtual Reality (AR/MR) headsets as well as smart glasses have the potential to revolutionize how we work, communicate, travel, learn, teach, shop and get entertained [1],[2]. An MR headset places virtual content into the user’s view of the real world, either via an optical see-through mode (AR/MR) or video-pass-through mode (VR/MR). Today, the return on investment for MR use has been demonstrated widely for the enterprise and defense sectors, but only partially for consumer. In order to meet the high market expectations especially for the upcoming consumer field, several challenges must be addressed, in a variety of fields: optics, display, imaging, sensing, rendering, and MR content. Across each of these fields, artificial intelligence and deep learning techniques can offer important gains in optimization of key performance criteria, allowing for systems to be more performant on more constrained resources.
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