A unique imaging modality based on Equal Thickness Contours (ETC)
has introduced a new opportunity for 3D shape reconstruction
from multiple views. These ETCs are generated as a result of interference
between transmitted and diffracted beams.
We present a computational framework for
representing each view of an object in terms of its
object thickness , and
then integrating these representations into a 3D surface by
algebraic reconstruction. In this framework, the object thickness
is first derived from ideal contours and then extended to real data.
For real data,
the object thickness is inferred by grouping curve segments
that correspond to points of second derivative maxima.
At each step of the process, we use some form of
regularization to ensure closeness to the original features, as well as
neighborhood continuity. We apply our approach to images
of a sub-micron crystal structure obtained through a holographic
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Publication number: 41822