چکیده (انگلیسی):

Minimization techniques are widely used for retrieving a 3D
surface starting from a single shaded image i.e., for solving the shape from
shading problem. Such techniques are based on the assumption that
expected surface to be retrieved coincides with the one that minimize a
properly developed functional, consisting of several contributions. Among
the possible contributes defining the functional, the so called “smoothness
constraint” is always used since it guides the convergence of the
minimization process towards a more accurate solution. Unfortunately, in
areas where actually brightness changes rapidly, it also introduces an
undesired over-smoothing effect. The present work proposes two simple yet
effective strategies for avoiding the typical over-smoothing effect, with
regards to the image regions in which this effect is particularly undesired
(e.g., areas where surface details are to be preserved in the reconstruction).
Tested against a set of case studies the strategies prove to outperform
traditional SFS-based methods.