@inproceedings{fa33af195f75469f8ec1cee924c9b61d,
title = "Surface reconstruction using power watershed",
abstract = "Surface reconstruction from a set of noisy point measurements has been a well studied problem for several decades. Recently, variational and discrete optimization approaches have been applied to solve it, demonstrating good robustness to outliers thanks to a global energy minimization scheme. In this work, we use a recent approach embedding several optimization algorithms into a common framework named power watershed. We derive a specific watershed algorithm for surface reconstruction which is fast, robust to markers placement, and produces smooth surfaces. Experiments also show that our proposed algorithm compares favorably in terms of speed, memory requirement and accuracy with existing algorithms. {\textcopyright} 2011 Springer-Verlag.",
keywords = "Graph cuts, optimization, point measurements, total variation",
author = "Camille Couprie and Xavier Bresson and Laurent Najman and Hugues Talbot and Leo Grady",
year = "2011",
doi = "10.1007/978-3-642-21569-8\_33",
language = "English",
isbn = "9783642215681",
volume = "6671 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "381--392",
booktitle = "Mathematical Morphology and Its Applications to Image and Signal Processing",
address = "Germany",
note = "10th International Symposium on Mathematical Morphology, ISMM 2011 ; Conference date: 06-07-2011 Through 08-07-2011",
}