Abstract
The calibration of structured light vision sensor is the key technique in structured light 3D vision measurement. In this paper, a novel method for structured light vision sensor calibration is presented. In our method, a simple 2D planar target is used, and the corresponding world coordinate system is set for the target at different positions as well as the transformation relationships between world coordinate system camera coordinate system and image coordinate system. The intersecting line equations at different positions are unified under the camera coordinate system after processing. Then we can use least square method to fit the structured light equation. The experimental results show that the proposed method is an efficient method with high precision and simple procedure.
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