Surface reconstruction using deformable models with interior andboundary constraints
Wang, Y.F.; Wang, J.-F.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 14, Issue 5, May 1992 Page(s):572 - 579
Digital Object Identifier 10.1109/34.134061
Summary:The authors introduce a technique for 3D surface reconstruction
using elastic deformable-models. The model used is an imaginary elastic
grid, which is made of membranous, thin-plate-type material. The elastic
grid can bent, twisted, compressed, and stretched into any desired 3D
shape, which is specified by the shape constraints derived automatically
from images of a real 3D object. Shape reconstruction is guided by a set
of imaginary springs that enforce the consistency in the position,
orientation, and/or curvature measurements of the elastic grid and the
desired shape. The dynamics of a surface reconstruction process is
regulated by Hamilton's principle or the principle of the least action.
Furthermore, a 1D deformable template that borders the elastic grid may
be used. This companion boundary template is attracted/repelled by image
forces to conform with the silhouette of the imaged object.
Implementation results using simple analytic shapes and images of real
objects are presented
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