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Image-Based Rendering for Non-Diffuse Synthetic Scenes

机译:基于图像的非漫反射综合场景的渲染

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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:基于当前的基于图像的渲染方法在假设场景中的所有可见表面是不透明的理想漫射器(Lambertian)反射器的情况下运行。本文涉及基于图像的非漫反射综合场景的渲染。我们介绍了一种新的基于图像的场景表示,并描述了能够处理不仅包含漫反射器的一般合成场景的基于图像的渲染算法,而且还可以处理不仅具有漫反射器的一般合成场景,还可以处理镜面和光泽物体。我们的基于图像的表示基于分层深度图像。它同时表示独立于视图的场景信息和视图依赖性外观信息。视图相关信息可以直接从我们的数据结构中提取,或者使用基于图像的射线跟踪的类似图像评估程序。我们描述了基于图像的渲染算法,其以从任何观看位置产生良好近似的方式将两个组分重新组合。除了将基于图像的渲染扩展到非漫射综合性场景之外,我们的论文还具有重要的方法论贡献:它在基于离散光栅的场景表示的共同框架中放置基于图像的渲染,光场渲染和卷图形。

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