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Shape from equal thickness contours

Conference ·
OSTI ID:779705
A unique imaging modality based on Equal Thickness Contours (ETC) has introduced a new opportunity for 3D shape reconstruction from multiple views. 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. 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 process.
Research Organization:
Lawrence Berkeley National Lab., CA (US)
Sponsoring Organization:
USDOE Director, Office of Energy Research (US)
DOE Contract Number:
AC03-76SF00098
OSTI ID:
779705
Report Number(s):
LBNL--41678
Country of Publication:
United States
Language:
English

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