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Proceedings Paper

Feature-based automatic color calibration for networked camera system
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Paper Abstract

In this paper, we have developed a feature-based automatic color calibration by using an area-based detection and adaptive nonlinear regression method. Simple color matching of chartless is achieved by using the characteristic of overlapping image area with each camera. Accurate detection of common object is achieved by the area-based detection that combines MSER with SIFT. Adaptive color calibration by using the color of detected object is calculated by nonlinear regression method. This method can indicate the contribution of object's color for color calibration, and automatic selection notification for user is performed by this function. Experimental result show that the accuracy of the calibration improves gradually. It is clear that this method can endure practical use of multi-camera color calibration if an enough sample is obtained.

Paper Details

Date Published: 24 January 2011
PDF: 8 pages
Proc. SPIE 7867, Image Quality and System Performance VIII, 78670G (24 January 2011); doi: 10.1117/12.872335
Show Author Affiliations
Shoji Yamamoto, Tokyo Metropolitan College of Industrial Technology (Japan)
Keisuke Taki, Chiba Univ. (Japan)
Norimichi Tsumura, Chiba Univ. (Japan)
Toshiya Nakaguchi, Chiba Univ. (Japan)
Yoichi Miyake, Chiba Univ. (Japan)


Published in SPIE Proceedings Vol. 7867:
Image Quality and System Performance VIII
Susan P. Farnand; Frans Gaykema, Editor(s)

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