光照一致性是增强现实中实现虚实融合的重要方面, 有效的光照方向估计方法对增强现实系统具有重要意义。为了实现增强现实虚拟人的光照一致, 利用增强现实虚拟人具有相对固定目标的特点, 提出了一种新的光照方向估计方法。该方法通过对目标进行三维重建获取法线数据, 克服了一般光照方向估计方法中难以得到目标的法线信息的困难。为了提高系统的运算效率, 把对连续图像的分析改为对离散的采样点数据进行分析。实验证明了该方法在增强现实虚拟人的光照方向估计中是可行性的。

Illumination consistency is an important aspect to implement virtual-real fusion in augmented reality system. An effective illumination estimation method is significant in these systems. In order to achieve illumination consistency for the virtual human in augmented reality, a novel method is proposed for illumination estimation, using the property that the virtual human has a relatively fixed target. This method gets the normal data through the three-dimensional reconstruction for the target, and overcomes the difficulties in the process of obtaining normal data in the general illumination direction estimating methods. In order to improve the computing efficiency of the system, the continuous images are replaced by discrete sampling points in analysis. Some experiments are designed to show that the proposed method for the virtual human in illumination direction estimation is feasible.