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This paper presents a novel implicit representation of solid models. Withthis representation, every solid model can be effectively presented by threelayered depth-normal images (LDNIs) that are perpendicular to three orthogonalaxes respectively. The layered depth-normal images for a solid model, whoseboundary is presented by a polygonal mesh, can be generated efficiently withhelp of the graphics hardware accelerated sampling. Based on this implicitrepresentation - LDNIs, solid modeling operations including the Booleanoperations and the offsetting operation have been developed. A contouringalgorithm is also introduced in this paper to generate thin structure and sharpfeature preserved mesh surfaces from the layered depth-normal images.Comparisons between LDNIs and other implicit representation of solid models aregiven at the end of the paper to demonstrate the advantages of LDNIs.

Layered Depth-Normal Images: a Sparse Implicit Representation of Solid Models