Abstract
Proprietary high-frequency industrial stereo-vision systems can be used for close range applications in dynamic environments. Those systems incorporate faster computation and real-time processing. Alternatively, Tsai's calibration method is well suited for high-frequency applications using non-proprietary stereo-vision systems. In this paper, we study and compare the performance of using low-cost cameras for close range applications in dynamic environments. The camera configurations tested had substantial lens distortion, and we show how the corner detection method can be adjusted to be better suited for our specific application. We show that using Tsai's calibration results in accurate representation of close range objects relevant for hydraulic engineering applications. We discuss in detail the effect of camera to target distance and image coverage for the various camera configurations used in this study. Depth resolution, surface accuracy and efficiency of the acquisition process are used as our recommendation criteria for future application of Tsai's calibration in hydraulic engineering research.
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