Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves
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“Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves” by M. Kaess and F. Dellaert. In Proceedings of the IEEE 1st International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, (Nice, France), Oct. 2003, pp. 39-47.
Abstract
In some applications objects are known to have nonsmooth or "jagged" edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexible curve representation, which allows tagging corners to model non-smooth features along otherwise smooth curves. A Markov chain Monte Carlo approach yields an approximate posterior distribution over tags, while Rao-Blackwellization allows us to integrate out the control point locations by an approximation. We apply this general methodology to multi-view reconstruction of piecewise smooth curves from multiple calibrated views in which the object has been segmented from the background. Results are shown for multiple images of two pot shards as would be encountered in archaeological applications.
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BibTeX entry:
@inproceedings{Kaess03hlk,
author = {M. Kaess and F. Dellaert},
title = {Reconstruction of Objects with Jagged Edges through
{R}ao-{B}lackwellized Fitting of Piecewise Smooth Subdivision
Curves},
booktitle = {Proceedings of the IEEE 1st International Workshop on
Higher-Level Knowledge in {3D} Modeling and Motion Analysis},
pages = {39-47},
publisher = {IEEE Computer Society},
address = {Nice, France},
month = {Oct},
year = {2003},
isbn = {0-7695-2049-9}
}