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Computational optical imaging is a combination of computationally designed illumination, optics, and processing algorithms. Some of these novel optical systems are either applied for capturing multi-dimensional information or for displaying this information to the user. These capture and display devices have been studied for a long time and a few are now slowly maturing toward commercial applications.
Many 3D displays have been proposed over the years but only some of them promise to give true 3D perception to humans. In this talk, I will focus on one such display technique which is based on integral imaging, also known as light field displays, exploring how they provide 3D information and discussing enabling technologies which are required for their success. In parallel to developing these displays, understanding of how humans perceive 3D is also important and has to be taken in to account while designing these displays. I will highlight these issues for integral displays and show how these displays have a potential to provide accurate and comfortable 3D experiences.
While exploring 3D displays, one of the obvious next questions is about generating the content and information these displays can show. While showing computer generated information is a relatively easier route, capturing and converting real world content for these displays is not trivial. I will show examples of capture methods for integral displays and talk about two specific methods to capture 3D information from real world scenes and show on integral displays.
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