Abstract:
The computation of image motion for the purposes of
determining egomotion is a challenging task as image
motion includes discontinuities and multiple values
mostly due to scene geometry, surface translucency and
various photometric effects such as surface reflectance.
We present algorithms for computing multiple image
motions arising from occlusion and translucency which
are capable of extracting the information-content of occlusion
boundaries and distinguish between those and
additive translucency phenomena. Sets of experimental
results obtained on synthetic images are presented.
These algorithms are based on recent theoretical results
on occlusion and translucency in Fourier space.