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Lecture Notes in Computer Science
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 isdoi:10.1007/978-3-642-21569-8_33 fatcat:lixyvagc3rgyddywlitot7ii5i