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Point light source estimation based on scenes recorded by a RGB-D camera

机译:基于RGB-D相机记录的场景的点光源估计

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摘要

Estimation of the point light source position in the scene enhances the experience for augmented reality. The image and depth information from the RGB-D camera allows estimation of the point light source position in a scene, where our approach does not need any probe objects or other measuring devices. The approach uses the Lambertian reflectance model, where the RGB-D camera provides the image and the surface model and the remaining unknowns are the albedo and light parameters (light intensity and direction). In order to determine the light parameters, we assume that segments with a similar colour have the same albedo, which allows us to find the point light source that explains the illumination in the scene. The performance of this method is evaluated on multiple scenes, where a single light bulb is used to illuminate the scene. In this case, the average error in the angle between the true light position vector and our estimate is around 10 degrees. This allows realistic rendering of synthetic objects into the recorded scene, which is used to improve the experience of augmented reality.
机译:场景中点光源位置的估计可增强增强现实的体验。来自RGB-D摄像机的图像和深度信息可以估计场景中的点光源位置,在这种情况下,我们的方法不需要任何探针物体或其他测量设备。该方法使用朗伯反射模型,其中RGB-D相机提供图像和表面模型,其余未知数是反照率和光参数(光强度和方向)。为了确定光照参数,我们假设具有相似颜色的线段具有相同的反照率,这使我们能够找到解释场景照明的点光源。在多个场景(使用单个灯泡照亮场景)上评估该方法的性能。在这种情况下,真实光位置矢量和我们的估计之间的角度平均误差约为10度。这允许将合成对象逼真的渲染到录制的场景中,用于改善增强现实的体验。

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