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Abstract: Based on the principle of multiple line structured light,
the mathematical model of the surface vision sensor is established. A
facilitated calibration approach to easily determine all the model
parameters of a surface vision sensor with a planar reference object is
proposed. The multiple local world coordinate systems are set up onto
the different moving planes respectively. All the local 3D world
coordinates of the control points falling on the multiple light stripe
plane can be readily obtained by the invariance of the cross ratio. The
3D camera coordinates of the control points can be computed by
transformation from the local world frames to the 3D camera coordinate
frame. The optimization estimation of the model parameters of the
surface vision sensor in the working state can be finished with those
control points. The proposed approach greatly reduces the cost of the
calibration equipment and simplifies the calibrating procedure, so it
can promote the engineering applications of the surface vision sensor
handily. It shows that this method is practical in the surface
measurement by experiments.
Key words: Structured light Planar reference object Calibration
Surface measurement
CLC No: TP391.41
国家杰出青年科学基金资助项目(50125518).
Received 20040303, received in revised form 20041010
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