第八章:自然现象的表达可视化:紫外线个体曝光估计

L. Moccozet, A. Cao, A. Milon, P. Droz, D. Vernez, J. Bulliard
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引用次数: 0

摘要

本文的研究旨在开发和验证个体暴露于太阳紫外线(UV)的预测工具。紫外线照射取决于环境照射水平和与活动有关的个人因素(对太阳的位置、衣服、照射时间和其他形式的防晒)。我们根据环境辐射水平和姿势活动信息来预测身体部位的暴露水平。该预测系统使用3D渲染领域的现有技术,直观地绘制出人体部位暴露分布的准确估计,表示为3D三角形网格。将结果与个别剂量学测量结果进行比较。我们的方法是基于我们对个体紫外线暴露模型和3D计算机生成场景渲染的假设之间的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chapter 8: Sketching Expressive Visualization of a Natural Phenomenon: Ultra-violet Individual Exposure Estimation
The research presented in this paper aims at developing and validating a predictive tool of individual exposure to solar Ultra-Violet (UV). UV exposure depends on ambient irradiation level and individual factors related to activity (position to the sun, clothing, duration of exposure, and other forms of sun protection). We predict exposure levels of body parts on basis of ambient irradiation levels and information about postural activity. The prediction system uses existing techniques in the field of 3D rendering to visually sketch an accurate estimation of the exposure distribution over body parts represented as a 3D triangular mesh. The results are compared against individual dosimetric measurements. Our approach is based on the similarities between our assumptions about the individual UV exposure model and the rendering of 3D computer generated scenes.
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