基于小波的单幅图像光重构

Cameron Upright, Dana Cobzas, Martin Jägersand
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引用次数: 5

摘要

本文提出了一种基于小波的光表示方法。这种表示用于从单个校准图像中恢复具有已知几何形状的场景的照明和反射率。以往的光估计方法要么是重建一个无限光源的离散集合,要么是在球谐基上重建光的投影。第一种方法更适合于模拟尖锐的光线效果,而第二种方法最适合于漫射场景。相比之下,我们表明所提出的表示适用于漫反射和高光场景。我们将我们的技术与前面提到的两种方法进行了比较,发现它更优越。除了照明估计,我们的算法还估计一个Phong表面反射。合成场景和真实场景的实验验证了该方法的有效性。
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Wavelet-based Light Reconstruction from a Single Image
In this paper we propose a wavelet-based light representation. This representation is used for recovering illumination and reflectance of a scene with known geometry from a single calibrated image. Previous approaches of light estimation reconstruct either a discrete set of infinite light sources or the projection of light on the spherical harmonics basis. The first approach is more suitable for modeling sharp light effects while the second one works best for diffuse scenes. In contrast, we show that the proposed representation is suitable for both diffuse and specular scenes. We compared our technique with the two previously mentioned approaches and found it superior. In addition to illumination estimation our algorithm also estimates a Phong surface reflection. Experiments with synthetic and real scenes demonstrate the effectiveness of our method.
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