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Augmented and Mixed Reality are emerging as likely successors to the mobileinternet. However, many technical challenges remain. One of the keyrequirements of these systems is the ability to create a continuity betweenphysical and virtual worlds, with the user's visual perception as the primaryinterface medium. Building this continuity requires the system to develop avisual understanding of the physical world. While there has been significantrecent progress in computer vision and AI techniques such as imageclassification and object detection, success in these areas has not yet led tothe visual perception required for these critical MR and AR applications. Asignificant issue is that current evaluation criteria are insufficient forthese applications. To motivate and evaluate progress in this emerging area,there is a need for new metrics. In this paper we outline limitations ofcurrent evaluation criteria and propose new criteria.

Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception