A framework for non-realistic projections

A framework for non-realistic projections
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发表时间:
1998
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通讯作者:
J. Levene
J. Levene
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其他
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作者:
J. Levene

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在过去的三十年里,计算机图形学的大多数研究方向都指向产生照片级真实感图像。然而,照片现实主义在实际和艺术环境中显示出一些非常真实的缺陷。非真实感渲染器(NPR)通过放弃光学的精确建模来实现更具表现力的结果,从而为新的解决方案提供了新的解决方案。以前的NPR系统专注于通过以非真实感的方式显示几何效果来模拟传统媒体。然而,通过放弃照片真实感,NPR系统还可以选择执行投影,除了照明和可见度分辨率之外,还可以非现实地执行。投影技术作为一种控制信息如何呈现给观众的方法特别有用,它表达了物体的形状以及它们之间的空间关系可以在图片中表现的各种方式。我们描述了一个用于交互计算从3D世界空间到2D屏幕空间的非真实感投影的框架。该框架提供了(1)使用曲面投影曲面;(2)控制正交线收敛到图像中的消失点或从图像中的消失点发散的程度;(3)控制正交线收敛或发散时的行为;以及(4)独立地投影不同的对象并将它们的图像合成在一起的方法。我们通过应用于复杂模型的各种富有表现力的投影来演示我们的方法。论文导师:朱莉·多尔西职称:副教授
Over the last thirty years, most research e orts in computer graphics have been directed towards producing photorealistic images. Photorealism, however, exhibits some very real shortcomings in practical and artistic settings. Non-photorealistic renderers (NPRs) o er new solutions by abandoning the accurate modeling of optics in order to achieve more expressive results. Previous NPR systems have focused on simulating traditional media by displaying geometric results in a non-realistic fashion. By abandoning photorealism, however, NPR systems also have the option of performing projection, in addition to lighting and visibility resolution, non-realistically. Projection techniques are particularly useful as a means of controlling how information is presented to a viewer, expressing the various ways in which the shape of objects, and the spatial relations between them, can be represented in pictures. We describe a framework for interactively computing non-realistic projections from 3D world space to 2D screen space. The framework provides a means of (1) using curved projection surfaces; (2) controlling the degree to which orthogonals converge to or diverge from a vanishing point in the image; (3) controlling the behavior of orthogonals as they converge or diverge; and (4) projecting di erent objects independently and compositing their images together. We demonstrate our approach with a variety of expressive projections applied to complex models. Thesis Supervisor: Julie Dorsey Title: Associate Professor