ABSTRACT

Computational photography is changing the way of capturing images. While traditional photography simply captures two-dimensional (2D) projection of three-dimensional (3D) world, computational photography captures additional information by using generalized optics. The captured image may not be visually attractive, but together with the additional information, it enables novel postprocessing that can deliver quality images and, more importantly, generate data such as scene geometry that were unobtainable in the past. These new techniques overwrite the concept of traditional photography and transform a normal camera into a powerful device.