A Space-Carving Approach to Surface Estimation |
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Abstract:
In this work, the problem of detecting the surface of an unknown
arbitrarily-shaped scene from a set of points is considered. This problem
is typically formulated as the estimation of a function whose zero set represents
the surface. Most existing approaches solve this problem by employing
implicit surface representations to recover the surface from the
given data points. The proposed approach differs from existing methods
as it not only uses data points but also utilizes the additional geometric
ray-based information often ignored by earlier formulations. By posing
this problem as an infinite-constraint minimization task, a maximum margin
based formulation is developed and solved using a kernel-based
online subgradient method. Experimental results validate the proposed
approach.
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Code
Space carving (zip file)
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Publications
"A Space-Carving Approach to Surface Estimation"
Santosh K. Divvala, J. Andrew Bagnell, Martial Hebert
Technical Report, CMU Robotics Institute, 2008
[Paper]
[Poster]
[Presentation]
(Also check work by Raia Hadsell here)
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