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Perceived slant of binocularly-viewed large-scale surfaces: A common model from explicit and implicit measures

机译:双目观察的大表面的感知倾斜度:来自显式和隐式量度的通用模型

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摘要

It is known that the perceived slants of large distal surfaces, such as hills, are exaggerated and that the exaggeration increases with distance. In a series of two experiments, we parametrically investigated the effect of viewing distance and slant on perceived slant using a high-fidelity virtual environment. An explicit numerical estimation method and an implicit aspect ratio approach were separately used to assess the perceived optical slant of simulated large-scale surfaces with different slants and viewing distances while gaze direction was fixed. The results showed that perceived optical slant increased logarithmically with viewing distance and the increase was proportionally greater for shallow slants. At each viewing distance, perceived optical slant could be approximately fit by linear functions of actual slant that were parallel across distances. These linear functions demonstrated a fairly constant gain of about 1.5 and an intercept that increased logarithmically with distance. A comprehensive three-parameter model based on the present data provides a good fit to a number of previous empirical observations measured in real environments.
机译:众所周知,诸如丘陵之类的大的远侧表面的感知倾斜被夸大,并且夸大随着距离而增加。在一系列的两个实验中,我们使用高保真虚拟环境从参数上研究了观看距离和倾斜对感知倾斜的影响。分别使用显式数值估计方法和隐式长宽比方法来评估在凝视方向固定的情况下具有不同倾斜度和观看距离的模拟大型表面的感知光学倾斜度。结果表明,感知的光学倾斜度与观察距离成对数增加,而浅倾斜度的增加成比例地更大。在每个观察距离处,感知到的光学倾斜度可以通过实际倾斜度的线性函数近似拟合,该线性函数跨距离平行。这些线性函数显示出约1.5的相当恒定的增益,并且截距随距离成对数增加。基于当前数据的综合三参数模型非常适合实际环境中测得的许多先前的经验观察。

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