Radiance-based color calibration for image-based modeling with multiple cameras

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• 作者：Xu Zhao (12)
  Zhong Zhou (12) zz@vrlab.buaa.edu.cn
  Wei Wu (12)
• 关键词：color calibration &#8211 ; photo ; consistency estimation &#8211 ; multi ; camera system &#8211 ; image ; based modeling
• 刊名：SCIENCE CHINA Information Sciences
• 出版年：2012
• 出版时间：July 2012
• 年：2012
• 卷：55
• 期：7
• 页码：1509-1519
• 全文大小：890.0 KB
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• 作者单位：1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, 100191 China2. School of Computer Science and Engineering, Beihang University, Beijing, 100191 China
• 刊物类别：Computer Science
• 刊物主题：Chinese Library of Science
  Information Systems and Communication Service
  
• 出版者：Science China Press, co-published with Springer
• ISSN：1869-1919

文摘

Photo-consistency estimation is an important part for many image-based modeling techniques. This paper presents a novel radiance-based color calibration method to reduce the uncertainty of photo-consistency estimation across multiple cameras. The idea behind our method is to convert colors into a uniform radiometric color space in which multiple image data are corrected. Experimental results demonstrate that our method can achieve comparable color calibration effect without adjusting camera parameters and is more robust than other existing method. Additionally, we obtain an auto-determined threshold for photo-consistency check, which will lead to a better performance than existing photo-consistency based reconstruction algorithms.