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A New Framework for Grayscale and Colour Non-lambertian Shape-from-Shading

机译:灰度和彩色非灯泡形状的新框架 - 从阴影

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In this paper we show how arbitrary surface reflectance properties can be incorporated into a shape-from-shading scheme, by using a Riemannian minimisation scheme to minimise the brightness error. We show that for face images an additional regularising constraint on the surface height function is all that is required to recover accurate face shape from single images, the only assumption being of a single light source of known direction. The method extends naturally to colour images, which add additional constraints to the problem. For our experimental evaluation we incorporate the Torrance and Sparrow surface reflectance model into our scheme and show how to solve for its parameters in conjunction with recovering a face shape estimate. We demonstrate that the method provides a realistic route to non-Lambertian shape-from-shading for both grayscale and colour face images.
机译:在本文中,我们示出了如何通过使用黎曼最小化方案将任意表面反射性能结合到形状从阴影方案中,以最小化亮度误差。我们表明,对于面部图像,表面高度功能的额外正规约束是从单个图像中恢复精确的面部形状所需的额外规则,唯一的假设是已知方向的单个光源。该方法自然地扩展到彩色图像,这增加了对问题的额外约束。对于我们的实验评估,我们将托兰斯和麻雀表面反射模型纳入我们的方案,并展示了如何结合恢复面部形状估计来解决其参数。我们证明该方法提供了灰度和彩色面部图像的非兰伯语形状的逼真路线。

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