Abstract
Reverse engineering has become an independent research area in CAD/CAM system with the development of modern manufacturing. The 3D reconstruction technology of generating a digit model from physical model is an important part of reverse engineering. The 3D reconstruction technology based on stereo vision has advantages such as non-contact measurement, simple system structure, being fast and efficient. In this paper, a fast 3D reconstruction technology based on stereo vision is presented. Firstly, BP neural network is used to simulate the mapping relationship between the 3D object and its images. Then, the epipole positions and adjusting coefficients for epipolar lines are calculated according to the epipolar line constraint. After the rectification transformations on the left and right image planes is conducted, the pairs of conjugate epipolar lines become collinear and parallel to the horizontal image axis. Therefore, when the stereo correspondences between the left and right images are being performed, the search is done only along the horizontal lines of the rectified images, which is highly advantageous to fast image matching for stereo vision and 3D reconstruction of free-form surface.
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