A new 3D measurement method and its calibration based on the combination of binocular and monocular vision

Abstract

The traditional structured light binocular vision measurement system consists of two cameras and a projector, which can be regarded to two monocular vision systems composed by the projector and a camera. In this paper, we present a threedimensional (3D) measurement method based on the combination of binocular vision and monocular vision. The common field of view is reconstructed by a binocular vision system, and the missing data area is filled up by two monocular vision systems. In order to improve the measurement accuracy and unify the three world coordinate systems, a calibration method is proposed. The calibration procedure consists of a binocular vision system calibration, the two monocular vision systems calibration and a globe optimization of the three systems for unifying to a common reference. In monocular vision system calibration, a new method based on virtual target is proposed and used to set up the coordinate relations. We use a projector and two cameras to build a vision system for testing the proposed technique. The experimental results show the calibration algorithm ensures the consistent accuracy in the three systems, which is important for data fusion. And it is clear that the proposed method improves the integrity of measurement results and measuring range efficiently.