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

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 un...

Full description

Saved in:
Bibliographic Details
Published inScience China. Information sciences Vol. 55; no. 7; pp. 1509 - 1519
Main Authors Zhao, Xu, Zhou, Zhong, Wu, Wei
Format Journal Article
LanguageEnglish
Published Heidelberg SP Science China Press 01.07.2012
Springer Nature B.V
Subjects
Algorithms
Calibration
Cameras
China
Color
Computer Science
Consistency
Information Systems and Communication Service
Mathematical models
Modelling
Radiance
Research Paper
Uncertainty
一致性估计
一致性检查
基于图像的建模
摄像机
相机参数
组成部分
色彩校正方法
颜色空间
color calibration
image-based modeling
photo-consistency estimation
multi-camera system
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:11-5847/TP
color calibration, photo-consistency estimation, multi-camera system, image-based modeling
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.
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-011-4467-5