Computing skeletons of 2D shapes, and medial surface and curve skeletons of 3D shapes, is a challenging task. In particular, there is no unified framework that detects all types of skeletons using a single model, and also produces a multiscale representation which allows to progressively simplify, or regularize, all skeleton types. In this paper, we present such a framework. We model skeleton detection and regularization by a conservative mass transport process from a shape’s boundary to its surface skeleton, next to its curve skeleton, and finally to the shape center. The resulting density field can be thresholded to obtain a multiscale representation of progressively simplified surface, or curve, skeletons. We detail a numerical implementation of our framework which is demonstrably stable and has high computational efficiency. We demonstrate our framework on several complex 2D and 3D shapes. Keywords: Medial axes, Skeleton regularization, Physicallybased shape processing.
|Number of pages||16|
|Journal||IEEE Transactions on Pattern Analysis and Machine Intelligence|
|Publication status||Published - 1 Jan 2016|
Jalba, A. C., Sobiecki, A., & Telea, A. C. (2016). An unified multiscale framework for planar, surface, and curve skeletonization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(1), 30-45. https://doi.org/10.1109/TPAMI.2015.2414420