2005
DOI: 10.1088/1464-4258/7/4/007
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Calibration of a fringe projection profilometry system using virtual phase calibrating model planes

Abstract: A novel virtual phase calibrating model plane method for coordinate calibration in fringe projection profilometry is presented in this paper. Plane (X-axis and Y-axis) calibration and height (Z-axis) calibration are studied respectively. The virtual phase calibrating model plane method is designed to calibrate the coordinates. Experimental results show that the proposed calibration procedure using the virtual phase calibrating model plane method is more efficient in that it needs only to grab and process one s… Show more

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Cited by 38 publications
(10 citation statements)
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“…Moreover, it does not take optical deformation into account. For these reasons we decided to use a more practical calibration procedure, which was based on a modified version of the virtual calibration-plane method proposed by Xiaoling et al (2005).…”
Section: Calibrationmentioning
confidence: 99%
“…Moreover, it does not take optical deformation into account. For these reasons we decided to use a more practical calibration procedure, which was based on a modified version of the virtual calibration-plane method proposed by Xiaoling et al (2005).…”
Section: Calibrationmentioning
confidence: 99%
“…In this study, the two reference planes based calibration system [21][22][23] is used. As shown in Fig.3, there are two parallel reference planes placed at positions z1 and z2, respectively.…”
Section: System Calibrationmentioning
confidence: 99%
“…(13) and (14). They are called as equi-coordinate phase [22] and equi-phase coordinate methods [23], respectively. Linear interpolation is applied to retrieve x coordinate in sub-pixel scale.…”
Section: System Calibrationmentioning
confidence: 99%
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“…where π‘Ž(π‘₯, 𝑦), 𝑏(π‘₯, 𝑦) and 𝑐(π‘₯, 𝑦) are the parameters related to the measurement system, which can be determined by a calibration process in advance [38]- [40]. To calculate the system constants π‘Ž(π‘₯, 𝑦), 𝑏(π‘₯, 𝑦) and 𝑐(π‘₯, 𝑦), we use the least-squares method.…”
Section: Introductionmentioning
confidence: 99%