Research And Application Of 3D Visual Measurement Technology Based On Line Structured Light

In the research of 3D visual measurement technology based on line structured light,the parameter calibration of line structured light vision measurement system is extremely important.This paper mainly researches the method of line structured light plane calibration.First,this paper introduces the method of parameter calibration for single-line structured light vision measurement system.The single-line structured light vision measurement system parameter calibration is the first step in 3D measurement applications.The stable acquisition of the characteristic points of the light plane is the most critical.The calculation accuracy of the characteristic points directly affects the experimental measurement results.In the process of the light plane calibration method,the traditional methods mostly use the characteristics of the planar target and the invariant ratio theorem to obtain the feature points.For the shortcomings of this method such as tedious operation,an efficient camera projection matrix and homography matrix calibration is proposed.First,the homography matrix is calculated from the correspondence between the feature points of the plane target and its world coordinates,and then all feature points on the intersection of the light plane and the target are calculated according to the camera projection matrix and the homography matrix at one time.The experimental results show that,because this method can use all the feature points,it has good stability,simple implementation,and can also achieve the required accuracy.Secondly,on the basis of single-line structured light,the problem of fast recognition and calculation of multi-line structured light is studied.The traditional method is to identify and calculate the light bars of the line structured light plane one by one,or use tools such as laser positioning point sensors and three-dimensional calibration objects,which have high experimental costs,complicated steps,and are not easy to operate.This paper gets rid of the traditional method and proposes a fast recognition algorithm.This method only needs to perform the calculation of the first and last light bars,then the parameters of all other light bars can be calculated.This method obviously reduces the experiment running time and improves the experiment efficiency.Finally,the improved algorithm is used for simple practical applications.The measured application verifies the efficiency and stability of the two methods proposed in this paper.In general,the accuracy of the experimental results is high,this method greatly saves time and cost,and can effectively meet production needs,and has broad application prospects.