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The affect image scale of ride-based 3D films: Focused on the affect axis deduction

机译:基于乘车的3D影片的影响图像比例:着重于影响轴推导

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This is a pilot study to develop the sensitive scale of ride-based 3D stereoscopic images. For this purpose, we collected sensitive words of 3D rides and again derived 29 sensitive words among them through the process of rating the collected words'' appropriacy by 53 normal people and the evaluation of three experts. The similarity evaluation among the 406 pairs (29×28/2) of the sensitive words was carried out and the sensitive axis was generated using Multidimensional Scaling (MDS) method. As a result of the experiment, we were able to come up with dimension one axis: easy — hard and dimension two axis: normal — dazzling. This thesis is an academic attempt to explain 3D stereoscopic image area based on an approach of sensibility science and is expected to provide a foundation for the standardization of the production of 3D stereoscopic images in the future.
机译:这是一项初步研究,旨在开发基于乘车的3D立体图像的敏感比例。为此,我们收集了3D游乐设施的敏感词,并通过53名正常人对收集到的词的适当性进行评估和三位专家的评估,再次得出了29个敏感词。进行406对(29×28/2)敏感词之间的相似性评估,并使用多维标度(MDS)方法生成敏感轴。作为实验的结果,我们能够提出一个维度的轴:容易-硬而第二维度的轴:正常-令人眼花。乱。本论文是基于敏感性科学方法解释3D立体图像区域的学术尝试,有望为将来3D立体图像的生产标准化提供基础。

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