Parameter calibration of a line-structured light vision measurement system is the first step required for three-dimensional measurement applications, wherein the most important task is stable acquisition of the feature points on the optical plane. An efficient calibration method is proposed based on a camera projection matrix and a homography matrix considering the characteristics of planar targets as well as the deficiency of the method of obtaining feature points based on the cross-ratio invariant principal. First, the homography matrix is calculated using the corresponding relationship between the feature points on the plane target and their world coordinates. Subsequently, all feature points lying on the intersection of the optical plane and target can be obtained simultaneously based on the camera projection and homography matrices. The experimental results indicate good stability and simple implementation for the new method, as well as high accuracy due to the utilization of all feature points.