Realistic Perspective Projections for Virtual Objects and Environments
Realistic Perspective Projections for Virtual Objects and Environments
复制标题
DOI：
10.1145/2019627.2019631
复制
发表时间：
2011-10-01
影响因子：
6.2
通讯作者：
Kuhl, Scott
中科院分区：
文献类型：
--
作者：
Steinicke, Frank;Bruder, Gerd;Kuhl, Scott
计算机图形系统提供了通过应用平面几何投影将虚拟3D空间渲染到2D显示表面的复杂手段。在真实的观看条件下，应用于渲染的透视图应该适当地考虑观看者相对于图像的位置。结果，观察者将不能区分计算机屏幕上的虚拟环境的渲染和在相同的真实世界场景处“穿过”屏幕的视图。到目前为止，很少有努力已经确定的透视投影，导致人类观察者判断他们是reality.In这篇文章中，我们分析观察者的意识的透视扭曲的虚拟场景显示在计算机屏幕上。这些扭曲扭曲了虚拟场景，使其与现实中的场景明显不同。我们描述的心理物理实验，探讨受试者的能力，区分不同的角度预测，并确定预测，最接近匹配一个等效的真实的场景。我们发现，用于透视渲染的视场应该与显示器的实际视角相匹配，以向用户提供逼真的视图。然而，我们发现两类测试环境的视场在10-20%范围内的轻微变化不会导致观察到的模型的心理图像失真。
Computer graphics systems provide sophisticated means to render virtual 3D space to 2D display surfaces by applying planar geometric projections. In a realistic viewing condition the perspective applied for rendering should appropriately account for the viewer's location relative to the image. As a result, an observer would not be able to distinguish between a rendering of a virtual environment on a computer screen and a view "through" the screen at an identical real-world scene. Until now, little effort has been made to identify perspective projections which cause human observers to judge them to be realistic.In this article we analyze observers' awareness of perspective distortions of virtual scenes displayed on a computer screen. These distortions warp the virtual scene and make it differ significantly from how the scene would look in reality. We describe psychophysical experiments that explore the subject's ability to discriminate between different perspective projections and identify projections that most closely match an equivalent real scene. We found that the field of view used for perspective rendering should match the actual visual angle of the display to provide users with a realistic view. However, we found that slight changes of the field of view in the range of 10-20% for two classes of test environments did not cause a distorted mental image of the observed models.