Design of 3D reconstruction system based on multi-view stereo vision

To solve the problem of three-dimensional reconstruction of the surface of the product in the process of industrial products quality inspection,a method based on multi-view stereo vision was proposed.A system of three-dimensional reconstruction program with eight linear industrial cameras was designed.Firstly,through the image acquisition module,the images of the target object were acquired in eight different directions.Secondly,those images were used to preprocess,including image background suppression and target object segmentation.Then the internal and external parameters of eight cameras were got by the camera calibration module,and combined with Harris corner detection and Difference of Gaussian detection algorithm,feature point extraction was achieved for the pretreatment pictures.Based on these results,the extractive the feature points were matched and checked by the triangular method.Finally,after accurately obtaining and optimizing the angle points,finding a corner feature matching points,the surface of object was reconstructed accurately by the Poisson surface reconstruction method.The experimental results show that this system can reconstruct the three-dimensional surface of the static object,the surface of the object is integrity and its structure is clear in the reconstruction results.The characters on the surface are reconstructed completely,which can be well used for character recognition.