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一种基于偏最小二乘法的室外光照估计算法 被引量：2

An Algorithm for Outdoor Illumination Estimation Based on Partial Least Squares Method
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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. 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.
作者 杨美燕 吴志红 刘艳丽 秦学英 彭群生
机构地区 四川大学计算机学院 四川大学视觉合成图形图像技术国防重点学科实验室 山东大学计算机科学与技术学院 浙江大学CAD&CG国家重点实验室
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2012年第4期541-547,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) 国家自然科学基金重点项目(60736046 60832011) 国家自然科学基金青年项目(60903118 61103137) 浙江大学CAD&CG国家重点实验室开放课题(A1112)
关键词 室外光照估计 图像统计参数 偏最小二乘回归分析 敏感区域 outdoor illumination estimation image statistical parameters partial least squares regression analysis sensitive regions
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献16

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共引文献8

同被引文献25

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引证文献2

二级引证文献8

计算机辅助设计与图形学学报
2012年 第4期

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