Our image model incorporates three
fundamental components of image formation: the system characteristics
via a 3-D PSF, the gross surface
shape, and the surface microstructure.
This comprehensive physical model permits simulation
of
individual images. It also provides the mathematical basis for a probabilistic
representation using pixel-based statistics and allowing the construction
of an image-wide data likelihood. The data likelihood enables Bayesian
inference
of
underlying characteristics such as the surface pose. |
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