Existence of light reveals the architectural space. And images depict them. This thesis proposes a computational model for evaluating tonal and compositional qualities of photorealistically rendered synthetic images. Its aim is to assist the architects to quickly externalize their spatial imagination through automated evaluation and selection of volume rendered images in search of the ones they like to achieve. Taking the visual perception as the focal communication tool in design, the research promotes the use of computer generated realistic images to the very beginning of the design process. The implemented tool, Narration of Light is a plug-in that runs on the 3D Studio Max 7 environment, where realistic images can be rendered without any evaluation for the generated images. The tool aims to create a more self-conscious rendering environment that would computationally recognize the qualities of image by reading it via bitmap values.
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机译:光线的存在揭示了建筑空间。图像描绘了它们。本文提出了一种计算模型,用于评估照片级逼真的合成图像的色调和构图质量。其目的是通过自动评估和选择体积渲染图像以寻找他们想要获得的图像,来帮助建筑师快速地将他们的空间想象力外部化。以视觉感知为设计中的重点交流工具,这项研究将计算机生成的逼真的图像的使用推广到设计过程的最开始。已实现的工具Narration of Light是一个可在3D Studio Max 7环境中运行的插件,在该环境中可以渲染逼真的图像,而无需对生成的图像进行任何评估。该工具旨在创建一个更加自觉的渲染环境,该环境将通过位图值读取图像,从而以计算方式识别图像的质量。
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