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Intrinsic Textures for Relightable Free-Viewpoint Video

机译:可致密的自由观点视频的内在纹理

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This paper presents an approach to estimate the intrinsic texture properties (albedo, shading, normal) of scenes from multiple view acquisition under unknown illumination conditions. We introduce the concept of intrinsic textures, which are pixel-resolution surface textures representing the intrinsic appearance parameters of a scene. Unlike previous video relighting methods, the approach does not assume regions of uniform albedo, which makes it applicable to richly textured scenes. We show that intrinsic image methods can be used to refine an initial, low-frequency shading estimate based on a global lighting reconstruction from an original texture and coarse scene geometry in order to resolve the inherent global ambiguity in shading. The method is applied to relighting of free-viewpoint rendering from multiple view video capture. This demonstrates relighting with reproduction of fine surface detail. Quantitative evaluation on synthetic models with textured appearance shows accurate estimation of intrinsic surface reflectance properties.
机译:本文介绍了在未知的照明条件下从多视图采集中估算了来自多视图获取的内在纹理特性(Albedo,阴影,正常)的方法。我们介绍了内在纹理的概念,这是表示场景的内在外观参数的像素分辨率纹理。与以前的视频发作方法不同,该方法不承担统一的Albedo区域,这使得它适用于丰富的纹理场景。我们表明,内在图像方法可用于基于来自原始纹理和粗糙场景几何的全局照明重建来改进初始,低频着色估计,以便在阴影中解决固有的全局模糊性。该方法应用于从多视图视频捕获的释放自由视点渲染。这证明了具有细表面细节的再现的求助。具有纹理外观的合成模型的定量评估显示了内在表面反射性能的精确估计。

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