A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
Creating models of truss structures with optimization
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Isotropic remeshing with fast and exact computation of Restricted Voronoi Diagram
SGP '09 Proceedings of the Symposium on Geometry Processing
Fabricating articulated characters from skinned meshes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Stress relief: improving structural strength of 3D printable objects
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Chopper: partitioning models into 3D-printable parts
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
3D-printing of non-assembly, articulated models
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Make it stand: balancing shapes for 3D fabrication
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Worst-case structural analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Spec2Fab: a reducer-tuner model for translating specifications to 3D prints
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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3D printers have become popular in recent years and enable fabrication of custom objects for home users. However, the cost of the material used in printing remains high. In this paper, we present an automatic solution to design a skin-frame structure for the purpose of reducing the material cost in printing a given 3D object. The frame structure is designed by an optimization scheme which significantly reduces material volume and is guaranteed to be physically stable, geometrically approximate, and printable. Furthermore, the number of struts is minimized by solving an l0 sparsity optimization. We formulate it as a multi-objective programming problem and an iterative extension of the preemptive algorithm is developed to find a compromise solution. We demonstrate the applicability and practicability of our solution by printing various objects using both powder-type and extrusion-type 3D printers. Our method is shown to be more cost-effective than previous works.