24 January 2011 Feature-based automatic color calibration for networked camera system
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shoji Yamamoto, Shoji Yamamoto, Keisuke Taki, Keisuke Taki, Norimichi Tsumura, Norimichi Tsumura, Toshiya Nakaguchi, Toshiya Nakaguchi, Yoichi Miyake, Yoichi Miyake, "Feature-based automatic color calibration for networked camera system", Proc. SPIE 7867, Image Quality and System Performance VIII, 78670G (24 January 2011); doi: 10.1117/12.872335; https://doi.org/10.1117/12.872335


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