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has the right to do so. Note that the definitive versions of all EG papers (Eurographics,...) can be downloaded from http://www.eg.org/EG/DL. ACM papers (Siggraph, ...) can be downloaded from http://www.acm.org/dl/. Bundle Adjustment Constrained Smoothing For Multi-View PointCloud Data Kun Liu and Rhaleb Zayer 8th International Symposium on Visual Computing (ISVC), 2012 Abstract: Direct use of denoising and mesh reconstruction algorithms on point clouds originating from multi-view images is often oblivious to the reprojection error. This can be a severe limitation in applications which require accurate point tracking, e.g., metrology. In this paper, we propose a method for improving the quality of such data without forfeiting the original matches. We formulate the problem as a robust smoothness cost function constrained by a bounded reprojection error. The arising optimization problem is addressed as a sequence of unconstrained optimization problems by virtue of the barrier method. Substantiated experiments on synthetic and acquired data compare our approach to alternative techniques. BibTex reference @INPROCEEDINGS{BACS-isvc2012,
AUTHOR = "Liu, Kun and Zayer, Rhaleb",
TITLE = "Bundle Adjustment Constrained Smoothing For Multi-View PointCloud Dat
a",
BOOKTITLE = "8th International Symposium on Visual Computing (ISVC)",
YEAR = "2012",
ADDRESS = "Rethymnon, Crete, Greece",
MONTH = "July",
PUBLISHER = "Springer",
SERIES = "Lecture Notes in Computer Science",
}
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