A gaze-based study for investigating the perception of visual realism in simulated scenes
A gaze-based study for investigating the perception of visual realism in simulated scenes
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DOI：
10.1145/1279640.1279643
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发表时间：
2008-01
期刊：
影响因子：
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通讯作者：
M. Elhelw;M. Nicolaou;A. Chung;Guang-Zhong Yang;M. S. Atkins
中科院分区：
文献类型：
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作者：
M. Elhelw;M. Nicolaou;A. Chung;Guang-Zhong Yang;M. S. Atkins
视觉真实感是计算机图形学自诞生以来的一个主要目标。然而，视觉现实主义的感知并不是一个被很好理解的过程，通常被归因于难以定义或测量的视觉线索和图像特征的组合。对于高度复杂的图像，问题就更复杂了。本文的目的是提出一种基于眼球跟踪的研究，以考察不同视觉质量的静态图像的视觉真实感。眼睛凝视簇有助于定义与3D表面细节相对应的显著图像特征，以及吸引观察者注意力的光传输特性。这使得能够对影响照片现实主义感知的图像属性进行定义和分类。通过分析眼球跳动来检测不同观察者组的视觉行为的动态变化。我们还演示了实验中使用的不同图像类别如何被感知到不同程度的视觉现实主义。这些结果可以作为研究个体图像特征对视觉现实主义知觉的影响的基础。这项研究表明，回忆后或对视觉经验的简单抽象是不准确的，使用眼球跟踪提供了一种有效的方法来确定影响视觉真实感的相关特征，从而允许改进针对这些特征的呈现技术。
Visual realism has been a major objective of computer graphics since the inception of the field. However, the perception of visual realism is not a well-understood process and is usually attributed to a combination of visual cues and image features that are difficult to define or measure. For highly complex images, the problem is even more involved. The purpose of this paper is to present a study based on eye tracking for investigating the perception of visual realism of static images with different visual qualities. The eye-fixation clusters helped to define salient image features corresponding to 3D surface details and light transfer properties that attract observers' attention. This enabled the definition and categorization of image attributes affecting the perception of photorealism. The dynamics of the visual behavior of different observer groups were examined by analyzing saccadic eye movements. We also demonstrated how the different image categories used in the experiments were perceived with varying degrees of visual realism. The results presented can be used as a basis for investigating the impact of individual image features on the perception of visual realism. This study suggests that post-recall or simple abstraction of visual experience is not accurate and the use of eye tracking provides an effective way of determining relevant features that affect visual realism, thus allowing for improved rendering techniques that target these features.