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杨美燕, 吴志红, 刘艳丽, 秦学英, 彭群生. 一种基于偏最小二乘法的室外光照估计算法[J]. 计算机辅助设计与图形学学报, 2012, 24(4): 541-547.
引用本文: 杨美燕, 吴志红, 刘艳丽, 秦学英, 彭群生. 一种基于偏最小二乘法的室外光照估计算法[J]. 计算机辅助设计与图形学学报, 2012, 24(4): 541-547.
Yang Meiyan, Wu Zhihong, Liu Yanli, Qin Xueying, Peng Qunsheng. An Algorithm for Outdoor Illumination Estimation Based on Partial Least Squares Method[J]. Journal of Computer-Aided Design & Computer Graphics, 2012, 24(4): 541-547.
Citation: Yang Meiyan, Wu Zhihong, Liu Yanli, Qin Xueying, Peng Qunsheng. An Algorithm for Outdoor Illumination Estimation Based on Partial Least Squares Method[J]. Journal of Computer-Aided Design & Computer Graphics, 2012, 24(4): 541-547.

一种基于偏最小二乘法的室外光照估计算法

An Algorithm for Outdoor Illumination Estimation Based on Partial Least Squares Method

  • 摘要: 针对固定视点下的室外场景在线视频光照求解问题,提出一种基于偏最小二乘室外场景实时光照估计算法.在离线阶段提取场景中对光照变化较为敏感的区域,并将这些区域像素值的均值与方差的无偏估计作为场景图像的统计参数,再利用偏最小二乘回归分析建立场景的光照参数与图像统计参数之间的模型;在在线阶段使用所建立的模型实时估计视频每一帧的光照条件.实验结果表明,使用该算法所求解的光照参数对虚拟物体进行绘制并将其融入视频中后,合成场景真实感很强.

     

    Abstract: To estimate the illumination of outdoor scenes captured under a fixed viewpoint,we first extract image regions which are sensitive to the scene illumination at offline stage.Then we take the mean value and the unbiased estimation variance of sensitive regions as statistical parameters and construct the model between light parameters and statistical parameters using partial least squares regression analysis.At online stage,we use the constructed model to estimate the illumination of every frame in real time.Experiments demonstrate the effectiveness of our algorithm.

     

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