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Photon-mapping in Climate-Based Daylight Modelling with High-resolution BSDFs

机译:利用高分辨率BSDF在基于气候的日光建模中进行光子映射

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Visual comfort assessments employing luminance-based metrics rely on efficient CBDM techniques for image synthesis. Data-driven BSDF models allow to isolate internal light paths in optically CFS from CBDM. Bidirectional photon mapping is proposed for the efficient sampling of such models in the calculation of the direct solar component in CBDM. The method allows accurate image synthesis for visual comfort assessments with only two calculation steps, achieving comparable accuracy as the established but complex 5PM. The validity of the approach is confirmed by comparison with backward ray-tracing. Its exemplary application to compare two CFS in terms of glare control demonstrates the importance to achieve reconcilability of conflicting targets such as view and glare control in daylighting. (C) 2019 Elsevier B.V. All rights reserved.
机译:采用基于亮度的度量的视觉舒适度评估依靠有效的CBDM技术进行图像合成。数据驱动的BSDF模型允许隔离光学CFS中的内部光路和CBDM​​。为了在CBDM中直接太阳分量的计算中对此类模型进行有效采样,提出了双向光子映射。该方法仅需两个计算步骤就可以为视觉舒适度评估进行准确的图像合成,达到与既定但复杂的5PM相当的精度。通过与后向光线跟踪进行比较,可以确认该方法的有效性。其在眩光控制方面比较两个CFS的示例性应用证明了在日光下实现冲突目标(例如视野和眩光控制)的协调性的重要性。 (C)2019 Elsevier B.V.保留所有权利。

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