On-line Illumination Estimation of Outdoor Scenes Based on Area Selection for Augmented Reality
In augmented reality, consistent illumination plays an important role when integrating a virtual object into a video of real scene. In this paper, we propose a novel image based framework to estimate on-line the dynamic changing illumination parameters of outdoor video sequences captured by a fixed or pure rotation camera. Unlike previous approaches which either request to know the scene geometry or involve huge storage to preserve time and view dependent basis images or statistic parameters, our approach requires very simple interaction at the initialization stage by a few brushes to select areas with specified surface normal, which are used to calculate the sunlight parameters. More areas with the same normal will be detected automatically and an optimization procedure is applied, ensuring the robustness and precision of our estimation. Our new approach adapts to videos of the same scene with varied sun position on the sky and camera panning. Experimental results demonstrate the effectiveness and flexibility of the proposed approach.
国际会议
2011国际计算机辅助设计与图形学学术会议(CAD/Graphics 2011)
济南
英文
1-8
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）