We present a novel 3D curvilinear skeletonization algorithm which produces filtered skeletons without needing any user input, thanks to a new parallel algorithm based on the cubical complex framework. These skeletons are used in a modified path tracing algorithm in order to produce less noisy images in less time than the classical approach. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Chaussard, J., Noël, L., Biri, V., & Couprie, M. (2013). A 3D curvilinear skeletonization algorithm with application to path tracing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7749 LNCS, pp. 119–130). Springer Verlag. https://doi.org/10.1007/978-3-642-37067-0_11
Mendeley helps you to discover research relevant for your work.