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Realistically rendering polluted water

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Abstract

Polluted water is very common in our world. Vividly rendering polluted water can bring people real, different, and fancy feelings. Especially in under water imagery, taking polluted water into consideration will produce more plausible results. Polluted water consists of many kinds of pollutants, which interact with light differently and make water look turbid. The optical properties of polluted water change with the concentrations of pollutants significantly. In this paper, we provide a method to obtain the optical properties of polluted water, which makes a bio-optical model for polluted water and connects the optical parameters with water quality data, i.e., the concentrations of pollutants. Our method can estimate the optical properties of polluted water regardless of the kinds and the concentrations of pollutants in water. Polluted water is inhomogeneous and has multiple scattering effects. We use volumetric photon mapping to render it and provide a 3D weight-varying radiance estimate method for the photon mapping. This radiance estimate method can compute high-frequency effects easily, which can show more details of the pollution process. Experiments demonstrate that our approach can generate polluted water effects unachievable by standard rendering methods.

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Acknowledgements

This work is supported and funded by NSFC Grant No. 61173067, NSFC-Guangdong Joint Fund (U0935003) and National High-Tech Research and Development Plan of China under Grant No. 2012AA011501. We would like to thank the Key Lab of Mobile Computing and Pervasive Devices. And special thanks go to the anonymous reviewers for their valuable comments and suggestions.

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  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Jinjin Shi, Dengming Zhu, Yingping Zhang & Zhaoqi Wang

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  1. Jinjin Shi
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  2. Dengming Zhu
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  4. Zhaoqi Wang
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Correspondence to Jinjin Shi.

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Shi, J., Zhu, D., Zhang, Y. et al. Realistically rendering polluted water. Vis Comput 28, 647–656 (2012). https://doi.org/10.1007/s00371-012-0685-0

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