基于能量优化的在线室外光照估计算法

摘要

In this paper, we propose a novel framework to estimate the dynamic illumination of a live video of outdoor scenes, so as to ensure the illumination consistency of synthesized objects in augmented reality. We adopt a model which represents an outdoor image as a linear combination of a sun basis image and a sky basis image. By exploiting the characteristics of the sun basis image, the computation of sunlight and skylight of every frame is then reduced to a minimization problem that can be solved in real time. Compared with previous work, our method requires no preprocess stage hence more suitable for augmented reality.%为了保证增强现实中的光照一致性,提出一种基于能量优化的室外场景的实时光照估计算法.首先将室外场景图像表示成太阳光基图像和天空光基图像的线性组合;在此基础上,利用太阳光基图像的特点,将太阳光和天空光入射光强的求解归结为一个可实时求解的能量最小化问题.与现有算法相比,文中算法不需要离线学习,因而更适合于增强现实.