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http://dx.doi.org/10.15207/JKCS.2017.8.5.019

Multi-camera image feature analysis for virtual space convergence  

Yun, Jong-Ho (Department of Electronics and Computer Engineering, Hanyang University)
Choi, Myung-Ryul (Division of Electronics Engineering, Hanyang University)
Lee, Sang-Sun (Department of Electronics and Computer Engineering, Hanyang University)
Publication Information
Journal of the Korea Convergence Society / v.8, no.5, 2017 , pp. 19-28 More about this Journal
Abstract
In this paper, we propose a method to reduce the difference in image characteristics when multiple camera images are captured for virtual space production. Sixty-four images were used by cross-mounting eight bodies and lenses, respectively. Image analysis compares and analyzes the standard deviation of the histogram and pixel distribution values. As a result of the analysis, it shows different image characteristics depending on the lens or image sensor, though it is a camera of the same model. In this paper, we have adjusted the distribution of the overall brightness value of the image to compensate for this difference. As a result, the average deviation was the maximum of (Indoor: 6.89, outdoor: 24.23), we obtained images with almost no deviation (Indoor: maximum 0.42, outdoor: maximum: 2.73). In the future, we will study and apply more accurate image analysis methods than image brightness distribution.
Keywords
Convergence; Image characteristics; Image Histogram; Image Enhancement; Camera Lens;
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Times Cited By KSCI : 6  (Citation Analysis)
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