Online illumination estimation of outdoor scenes based on videos containing no shadow area  

作　　者：XING GuanYu ZHOU XueHong LIU YanLi QIN XueYing PENG QunSheng 

机构地区：[1]State Key Laboratory of CAD&CG,Zhejiang University [2]College of Computer Science,Sichuan University [3]School of Computer Science and Technology,Shandong University

出　　处：《Science China(Information Sciences)》2013年第3期1-11,共11页中国科学（信息科学）（英文版）

基　　金：supported by National Basic Research Program of China (973 Program) (Grant No. 2009CB320802);National Natural Science Foundation of China (Grant Nos. U1035004,61173070,61103137);Open Project Program of the State Key Lab of CAD & CG,Zhejiang University (Grant No. A1112)

摘　　要：Real-time estimation of outdoor illumination is one of the key issues for ensuring the illumination consistency of augmented reality. In this paper, we propose a novel framework to estimate the dynamic illumi- nation of outdoor scenes based on an online video sequence captured by a fixed camera. All existing approaches are based on two assumptions, i.e. there exist some shadow areas in the scene and the distribution of the skylight is uniform over the sky. Both assumptions greatly simplify the problem of illumination estimation of outdoor scenes, but they also limit the applicability as well as the accuracy of these approaches. This paper presents a new approach that breaks these two hard constraints. It recovers the lighting parameters of outdoor scenes containing no shadow area through solving a constrained linear least squares problem. By representing the skylight as a parameterized model incorporating an occlusion coefficient, the proposed approach can handle the dynamic variation of non-uniform skylight distribution. Experimental results demonstrate the potential of our approach.Real-time estimation of outdoor illumination is one of the key issues for ensuring the illumination consistency of augmented reality. In this paper, we propose a novel framework to estimate the dynamic illumi- nation of outdoor scenes based on an online video sequence captured by a fixed camera. All existing approaches are based on two assumptions, i.e. there exist some shadow areas in the scene and the distribution of the skylight is uniform over the sky. Both assumptions greatly simplify the problem of illumination estimation of outdoor scenes, but they also limit the applicability as well as the accuracy of these approaches. This paper presents a new approach that breaks these two hard constraints. It recovers the lighting parameters of outdoor scenes containing no shadow area through solving a constrained linear least squares problem. By representing the skylight as a parameterized model incorporating an occlusion coefficient, the proposed approach can handle the dynamic variation of non-uniform skylight distribution. Experimental results demonstrate the potential of our approach.

关 键 词：outdoor scenes online illumination estimation videos containing no shadow areas non-uniformskylight distribution limited scene reconstruction 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP753[自动化与计算机技术—计算机科学与技术]