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Steve Seitz
University of Washington
Seeing 3D: The Space of All Stereo Images
A stereo pair consists of two images with purely horizontal parallax,
that is, every scene point visible in one image projects to a point
in the same row of the other. Stereo images play a central role in
both human depth perception and computer-based shape reconstruction
techniques. However, a single stereo pair typically yields a very
incomplete perception of the world, due to limited coverage and field
of view.
In this talk, I will describe a class of new "panoramic" stereo image
representations that can be used to image an entire scene at once. These
images can be acquired by moving a conventional camera along a path and
compositing pixels from different views into a "multiperspective"
mosaic image. Future sensor designs may enable capturing such images
directly. I will show several examples of multiperspective stereo
images, and motivate their use for visualization and 3D reconstruction of
objects and scenes. In addition, I will classify the space of all possible
stereo images, by defining all distributions of light rays and sensor designs
that produce a stereo pair.
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