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Our eyes have evolved with perspective optics. Because of this, perspective images seem somewhat natural to our eyes; they're well tailored for human vision. In a perspective image, the objects close to us appear large and in detail, yet we enjoy sweeping wide-range views of distant scenery. Cameras have also evolved with perspective optics. It's natural for the optics of cameras to mimic the human eye. However, our perspective has some unfortunate shortcomings. In particular, our eyes have a limited field of view, and we can only see the world in front of us. Ideally, we could see in all directions at once. Additionally, we can only see one side of an object at a time. But suppose you could see all sides at the same time. In the last few years, some researchers (including ourselves) have investigated techniques that capture multiple perspectives into a single image - a problem known as multiperspective imaging. Multiperspective images are useful for several reasons. The ability to capture a panoramic field of view or both the front and back of an object leads to richer and more complete visualizations. At the same time, these images are well suited for processing in computer vision problems such as stereo reconstruction and motion analysis. The article presents an overview of our work in this area, and our view of multiperspective imaging in general.
Seitz et al. (Sat,) studied this question.