Error Analysis of Dynamical Measurement System Based on Binocular Vision
Yue Wang, Jin Zhang, Huaxia Deng · 2013
With the rapid development of industrial cameras, binocular stereo vision is widely used in the field of manufacturing. Using two or more image points of one point in space to restore space depth information is called stereo vision, which process is three-dimensional reconstruction. Nowadays binocular vision which applied for vibration test is widely used .While binocular stereo vision is normally used in static test and has been rarely reported for the dynamical measurement. So it is important to establish this dynamic error model and analyze error sources to improve measurement accuracy. In this paper, an error analysis of binocular vision for dynamical test is presented. For this measurement system of binocular vision, errors of results are generated by the deviation between the calculated world coordinate values and the actual world coordinate values. On the assumption that the calibration result is correct, an error model of dynamic measurement is established in the article which the deviation of Z coordinate value between the ideal point and the reconstructed point is mainly studied. This deviation is so-called reconstruction error. In this model, two cameras are non-synchronized. And the effects of motion parameters, such as amplitude, frequency, phase when double cameras take photos of one point respectively with simple harmonic motion or sinusoidal movements are analyzed. The proposed model is close to the actual situation and can be used to set up cameras and control cameras’ non-synchronized time to improve measurement accuracy when performing dynamic measurement.