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arXiv · 1009.0794

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

Charlie C. L. Wang·Yong Chen
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Abstract

This paper presents a novel implicit representation of solid models. With this representation, every solid model can be effectively presented by three layered depth-normal images (LDNIs) that are perpendicular to three orthogonal axes respectively. The layered depth-normal images for a solid model, whose boundary is presented by a polygonal mesh, can be generated efficiently with help of the graphics hardware accelerated sampling. Based on this implicit representation - LDNIs, solid modeling operations including the Boolean operations and the offsetting operation have been developed. A contouring algorithm is also introduced in this paper to generate thin structure and sharp feature preserved mesh surfaces from the layered depth-normal images. Comparisons between LDNIs and other implicit representation of solid models are given at the end of the paper to demonstrate the advantages of LDNIs.

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Charlie C. L. Wang, Yong Chen. 2010-09-04. Layered Depth-Normal Images: a Sparse Implicit Representation of Solid Models. https://arxiv.org/abs/1009.0794

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