一种鲁棒的实时室外光照估计算法  

Robust and Real-Time Outdoor Illumination Estimation

作　　者：刘艳丽[1,2] 杨美燕[1,2] 邢冠宇[3] 吴志红[1,2] 彭群生[3] 

机构地区：[1]四川大学计算机学院,成都610065 [2]四川大学视觉合成图形图像技术国防重点学科实验室,成都610065 [3]浙江大学CAD&CG国家重点实验室,杭州310027

出　　处：《计算机辅助设计与图形学学报》2013年第6期767-773,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家“九七三”重点基础研究发展计划项目(2009CB320800);国家自然科学基金(61103137,60903118);浙江大学CAD&CG国家重点实验室开放课题(A1112)

摘　　要：针对动态变化的室外光照求解问题,提出一种室外场景的实时光照估计算法.该算法基于室外场景图像的线性分解模型,利用太阳光基图像中阴影像素的特点和视频中光照的时空连续性构建由数据项和光滑项组成的目标函数,对太阳光和天空光的入射光强进行求解,得到视频帧图像所对应的实时光照参数与相应的太阳光基图像.实验结果表明,文中算法可应用于计算机视觉中受光照变化影响的在线视频处理,如增强现实、视频阴影检测、重光照等.To estimate dynamic changing illumination of outdoor scenes, a real-time video based illumination estimation algorithm is proposed. It adheres to the linear decomposition model of outdoor scene image and fully explores the lighting features of shadowed pixels as well as the illumination coherence between adjacent frames to construct an optimization function to solve for the incident intensity of skylight and sunlight. Experimental results demonstrate the robustness of the proposed algorithm as well as its applicability in augmented reality, shadow detection and relighting.

关 键 词：室外场景 光照估计 实时性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]