Surface reconstruction using deformable models with interior andboundary constraints
Wang, Y.F.; Wang, J.-F.
Computer Vision, 1990. Proceedings, Third International Conference on
Volume , Issue , 4-7 Dec 1990 Page(s):300 - 303
Digital Object Identifier 10.1109/ICCV.1990.139536
Summary:A technique is introduced for 3-D surface reconstruction and
graphic animation using elastic, deformable models. The basic structure
used is an imaginary elastic grid, which is made of membranous,
thin-plate type material. This elastic grid is bent, twisted,
compressed, and stretched into any desirable 3-D shape, or from one
flexible state to another. The desired shape can be specified by the
shape constraints derived automatically from images of a real 3-D
object, or by an analytic surface function. 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 reconstruction process is
regulated by the Hamilton principle or the principle of the least
action. Implementation results using simple analytic shapes and images
of real free-form objects are presented. The authors believe that their
model is widely applicable in many surface reconstruction and graphic
animation processes
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