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Image-Based Rendering for Non-Diffuse Synthetic Scenes

机译:非扩散合成场景的基于图像的渲染

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Most current image-based rendering methods operate under the assumption that all of the visible surfaces in the scene are opaque ideal diffuse (Lambertian) reflectors. This paper is concerned with image-based rendering of non-diffuse synthetic scenes. We introduce a new family of image-based scene representations and describe corresponding image-based rendering algorithms that are capable of handling general synthetic scenes containing not only diffuse reflectors, but also specular and glossy objects. Our image-based representation is based on layered depth images. It represents simultaneously and separately both view-independent scene information and view-dependent appearance information. The view-dependent information may be either extracted directly from our data-structures, or evaluated proceduraly using an image-based analogue of ray tracing. We describe image-based rendering algorithms that recombine the two components together in a manner that produces a good approximation to the correct image from any viewing position. In addition to extending image-based rendering to non-diffuse synthetic scenes, our paper has an important methodological contribution: it places image-based rendering, light field rendering, and volume graphics in a common framework of discrete raster-based scene representations.
机译:当前大多数基于图像的渲染方法都是在假设场景中所有可见表面都是不透明的理想漫反射(朗伯)反射器的情况下进行操作的。本文涉及基于图像的非扩散合成场景的渲染。我们介绍了一个新的基于图像的场景表示族,并描述了相应的基于图像的渲染算法,这些算法能够处理不仅包含漫反射器,而且还包含镜面和光泽对象的一般合成场景。我们基于图像的表示基于分层深度图像。它同时并分别表示与视图无关的场景信息和与视图有关的外观信息。与视图相关的信息既可以直接从我们的数据结构中提取,也可以使用基于图像的光线跟踪类似物以程序方式进行评估。我们描述了基于图像的渲染算法,该算法将两个组件重新组合在一起,从而可以从任何观看位置生成对正确图像的良好近似。除了将基于图像的渲染扩展到非扩散合成场景外,我们的论文还具有重要的方法论贡献:将基于图像的渲染,光场渲染和体图放置在基于离散栅格的场景表示的通用框架中。

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