In order to solve the problems of complex calibration and low accuracy that exist in large-scale measurement of the present line structured light, a measurement method with large-scale and high precision based on multi-vision line structured light sensor is proposed. Multi-vision line structured light sensor is comprised of a laser and several equidistant cameras (a single master and multi-slavers) which are arrayed side by side. About 1/3 overlapped field of view (OFOV) exists between neighboring cameras. The laser beam can cover the total width of field of view of all cameras. The calibration of sensor just needs a simple chessboard target. The method of Zhang′s calibration method is used to acquire the target images and calibrate traditional parameters. In addition, considering that the perspectives of camera are invariable, the transformation matrix of images stitching in adjacent cameras can be pre-calibrated through image registration with the known feature corner points extracted from the internal calibration images in OFOV. Continuous multiplication of the transformation matrixes can finally build the perspective transformation model (PTM) which can be used to transform arbitrary slave camera image to the imaging plane of the master camera. With the proposed method, local light stripe images of large-scale object can be collected simultaneously by cameras. Then, all the local light stripe images are quickly stitched into a complete stripe image with PTM. Finally, 3D coordinates of light stripe location are obtained by the extraction and the conversion of the coordinate of the light stripe. The experimental results show that the proposed method is more accurate and convenient than the existing methods. The average texture depth of the reconstructed model is only 8.3% away from that of real model.