Surface description of complex objects from multiple range images
Yang Chen
Medioni, G.
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA;
Abstract
Addresses the problem of constructing a complete surface model of
an object using a set of registered range images. Our approach is based
on a dynamic balloon model represented by using a triangulated mesh. The
vertices in the mesh are linked to their neighboring vertices by springs
to simulate the surface tension and to keep the shell smooth. Unlike
other dynamic models proposed by previous researchers, our balloon model
is driven purely by an applied inflation force towards the object
surface from inside the object, until the mesh elements reach the object
surface. The system includes an adaptive local triangle mesh subdivision
scheme that results in an evenly distributed mesh. Since our approach is
not based on global minimization, it can handle complex, non-star-shaped
objects without relying on a carefully selected initial state or
encountering a local minimum problem. It also allows us to adapt the
mesh surface to changes in local surface shapes and to handle any holes
that are present in the input data by adjusting certain system
parameters adaptively and locally. We present results on some complex,
non-star-shaped objects from real range images
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