Description: We consider the problem of shape recovery for real
world scenes, where a variety of global illumination (in-
terreflections, subsurface scattering, etc.) and illumi-
nation defocus effects are present. These effects in-
troduce systematic and often significant errors in the
recovered shape. We introduce a structured light tech-
nique called Micro Phase Shifting, which overcomes
these problems. The key idea is to project sinusoidal
patterns with frequencies limited to a narrow, high-
frequency band. These patterns produce a set of im-
ages over which global illumination and defocus effects
remain constant for each point in the scene. This en-
ables high quality reconstructions of scenes which have
traditionally been considered hard, using only a small
number of images. We also derive theoretical lower
bounds on the number of input images needed for phase
shifting and show that Micro PS achieves the bound.
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