View interpolation for image synthesis

Shenchang Eric Chen, L. Williams
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引用次数: 34

Abstract

Image-space simplifications have been used to accelerate the calculation of computer graphic images since the dawn of visual simulation. Texture mapping has been used to provide a means by which images may themselves be used as display primitives. The work reported by this paper endeavors to carry this concept to its logical extreme by using interpolated images to portray three-dimensional scenes. The special-effects technique of morphing, which combines interpolation of texture maps and their shape, is applied to computing arbitrary intermediate frames from an array of prestored images. If the images are a structured set of views of a 3D object or scene, intermediate frames derived by morphing can be used to approximate intermediate 3D transformations of the object or scene. Using the view interpolation approach to synthesize 3D scenes has two main advantages. First, the 3D representation of the scene may be replaced with images. Second, the image synthesis time is independent of the scene complexity. The correspondence between images, required for the morphing method, can be predetermined automatically using the range data associated with the images. The method is further accelerated by a quadtree decomposition and a view-independent visible priority. Our experiments have shown that the morphing can be performed at interactive rates on today's high-end personal computers. Potential applications of the method include virtual holograms, a walkthrough in a virtual environment, image-based primitives and incremental rendering. The method also can be used to greatly accelerate the computation of motion blur and soft shadows cast by area light sources.
查看插值图像合成
自视觉模拟出现以来,图像空间简化已被用于加速计算机图形图像的计算。纹理映射已经被用来提供一种方法,通过这种方法,图像本身可以被用作显示原语。本文所报道的工作试图通过使用插值图像来描绘三维场景,将这一概念发挥到其逻辑极限。将纹理映射及其形状插值相结合的变形特效技术应用于从一组预先存储的图像中计算任意中间帧。如果图像是3D对象或场景的结构化视图集,则可以使用变形派生的中间帧来近似对象或场景的中间3D转换。使用视图插值方法合成三维场景有两个主要优点。首先,场景的3D表示可以用图像代替。其次,图像合成时间与场景复杂度无关。变形方法所需的图像之间的对应关系可以使用与图像相关联的距离数据自动预定。该方法通过四叉树分解和与视图无关的可见优先级进一步加速。我们的实验表明,这种变形可以在当今的高端个人电脑上以交互速率进行。该方法的潜在应用包括虚拟全息图、虚拟环境中的演练、基于图像的原语和增量渲染。该方法还可以大大加快区域光源运动模糊和柔和阴影的计算速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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