A quadruple-frame volumetric PTV system using RGB cameras and telecentric lenses
ORAL
Abstract
Novel processing algorithms (e.g., Shack-The-Box, STB) for particle tracking have been developed and have largely improved the tracking accuracy and efficiency; however, such algorithm needs to utilize at least four consecutive frames, which calls for the need for ultra-high-speed cameras and high-power illumination source. In this study, we take a different approach to provide hardware support for the STB algorithm by using four prism-based multi-sensor RGB cameras, and an in-house designed RGB LED light array. This system can provide quadruple-frame realizations using cost-effective hardware. In addition, we employ telecentric lenses to reduce projection error as well as simplify the calibration process. We demonstrate this technique in a simplified cerebral aneurysm model and discuss the pros and cons of this system compared to other volumetric PTV systems.
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Presenters
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Zhongwang Dou
Northern Arizona University, Mechanical Engineering Department, Northern Arizona University
Authors
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Zhongwang Dou
Northern Arizona University, Mechanical Engineering Department, Northern Arizona University
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Zhicheng Jiang
Mechanical Engineering Department, Northern Arizona University, Northern Arizona University