Abstract:According to the detects that current 3D reconstruction method has been unable to truly reflect the three-dimensional characteristics of the laser image, and poor matching accuracy and so on, 3D reconstruction method based on constraint fluidize laser image characteristics was proposed in this paper. By adopting Harris corner detection algorithm, we extracted the laser image feature points, and by the method of the optimal binary tree, we had the laser image feature matching and used the nonlinear fluid analysis method to get parameter matrix of 3D reconstruction for the laser image characteristics; Using different constraint weight proportion method, we selected the constraint weight coefficient and realized 3D reconstruction for the laser image characteristics. The experimental results show that the 3D reconstruction of image feature points makes full use of laser image by using this algorithm, and the reconstruction time is short, and it has high efficiency and high matching degree of original image for the industrial application.