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A measure-driven method for normal mapping and normal map design of 3D models

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Abstract

Normal mapping is one of the most important methods for photorealistic rendering. It preserves geometric attribute values on a simplified mesh. A normal map stores normal vectors for high-quality meshes in a 2D form. A simplified model is then rendered using these normal vectors. To keep a surface’s normal property in a map it first of all requires 2D parameterization. The most common approach to this is to divide the surface into several patches, where each patch has its own parameterization. However, this approach has some weakness when it comes to designing global normal maps. This paper presents a measure-driven method that can interactively direct design of normal maps on a 2D plane. This 2D plane has minimal distortion and, more importantly, it is possible to zoom in or shrink the area of interest. The resulting, novel framework serves as a powerful tool for normal mapping and normal map design. We provide a variety of experimental results to demonstrate the efficiency, robustness and efficacy of our approach.

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Acknowledgements

This work is partially supported by National Natural Science Foundation of China(Project Number:61772379).

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Authors and Affiliations

  1. School of Civil Engineering and Architecture, Kunming University of Science and Technology, 727 South Jingming Road, Kunming, 650500, China

    Kun Qian & Jialing Zhang

  2. Faculty of Science, Kunming University of Science and Technology, 727 South Jingming Road, Kunming, 650500, China

    Kun Qian, Yinghua Li & Jialing Zhang

  3. School of Computer Science, Wuhan University, 299 Bayi Road, Wuhan, 430072, China

    Kehua Su

  4. Center of Engineering Mathematics, Kunming University of Science and Technology, 727 South Jingming Road, Kunming, 650500, China

    Kun Qian

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  1. Kun Qian
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  2. Yinghua Li
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Correspondence to Yinghua Li.

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Qian, K., Li, Y., Su, K. et al. A measure-driven method for normal mapping and normal map design of 3D models. Multimed Tools Appl 77, 31969–31989 (2018). https://doi.org/10.1007/s11042-018-6207-y

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