Parameter-controlled volume thinning
CVGIP: Graphical Models and Image Processing
An augmented Fast Marching Method for computing skeletons and centerlines
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Efficient Skeletonization of Volumetric Objects
IEEE Transactions on Visualization and Computer Graphics
Robust repair of polygonal models
ACM SIGGRAPH 2004 Papers
Skeleton-based Hierarchical Shape Segmentation
SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
Defining and computing curve-skeletons with medial geodesic function
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Computing Multiscale Curve and Surface Skeletons of Genus 0 Shapes Using a Global Importance Measure
IEEE Transactions on Visualization and Computer Graphics
Consistent mesh partitioning and skeletonisation using the shape diameter function
The Visual Computer: International Journal of Computer Graphics
From geometric to semantic human body models
Computers and Graphics
Automatic joints extraction of scanned human body
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Computer assisted estimation of anthropometric parameters from whole body scanner data
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Heat diffusion approach for feature-based body scans analysis
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
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In this paper we present a method for the automatic processing of scanned human body data consisting of an algorithm for the extraction of curve skeletons of the 3D models acquired and a procedure for the automatic segmentation of skeleton branches. Models used in our experiments are obtained with a whole-body scanner based on structured light (Breuckmann bodySCAN, owned by the Faculty of Exercise and Sport Science of the University of Verona), providing triangulated meshes that are then preprocessed in order to remove holes and create clean watertight surfaces. Curve skeletons are then extracted with a novel technique based on voxel coding and active contours driven by a distance map and vector flow. The skeleton-based segmentation is based on a hierarchical search of feature points along the skeleton tree. Our method is able to obtain on the curve skeleton a pose-independent subdivision of the main parts of the human body (trunk, head-neck region and partitioned limbs) that can be extended to the mesh surface and internal volume and can be exploited to estimate the pose and to locate more easily anthropometric features. The curve skeleton algorithm applied allows control on the number of branches extracted and on the resolution of the volume discretization, so the procedure could be then repeated on subparts in order to refine the segmentation and build more complex hierarchical models.