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A MODEL OF HUMAN SCALE TESTED ON RURAL LANDSCAPE SCENES

机译:基于农村景观场景的人类尺度模型。

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Landscapes such as the Great Plains have been described as lacking human scale. This study developed a quantitative model of human scale and compared it with viewers' perceptions of visual structure. Visual structure was selected from the physical features of Otoe County, NE, forming boundaries, found as ground textures, vegetative screens, and topographic breaks and was depicted in photographs of landscape scenes. The model used and tested nine classes of scale based on grain and extent of the photos rated by viewers against those from the model. Viewers identified boundaries representing grain and extent that were synthesized into a viewer-perceived scale class. Good agreement with the proposed model occurred at four smaller scales but deteriorated as scale increased. Larger-scale scenes appear to offer more opportunities for the viewer to select closer or farther visual boundaries, thus changing their interpretation of scale.
机译:大平原等地貌已被描述为缺乏人类规模。这项研究开发了一种人类规模的定量模型,并将其与观众对视觉结构的感知进行了比较。视觉结构是从东北内州Otoe县的物理特征中选择的,形成边界,发现为地面纹理,植物屏障和地形断裂,并在景观照片中进行了描绘。该模型根据观看者对照片的颗粒度和范围与模型中的照片进行对比,使用并测试了9种等级的比例尺。观看者识别出代表谷物和范围的边界,这些边界已合成为观看者感知的比例等级。与建议模型的良好一致性发生在四个较小的规模上,但随着规模的增加而恶化。较大比例的场景似乎为观看者提供了更多机会选择更近或更远的视觉边界,从而改变了他们对比例的解释。

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