A method was proposed to gain three-dimensional (3D) reconstruction based on binocular view geometry. Images used to calibrate cameras and reconstruct car’s rearview mirror by image acquisition system, by calibration image, a camera's intrinsic and extrinsic parameters, projective and fundamental matrixes were drawn by Matlab7.1;the collected rearview mirror images is pretreated to draw refined laser, extracted feature points, find the very appropriate match points by epipolar geometry principle; according to the camera imaging model to calculate the coordinates of space points, display point cloud, fitting space points to reconstruct car’s rearview mirror; experimental results show this method can better restore the car’s rearview mirror of 3D information.
It’s important to extract target points center from image in computer vision quickly and accurately. The center extract with the raw gradient information in the neighborhood of the target points boundary to get the parameters of the ellipse, avoids the intermediate stage of precisely extracting individual edge points. Moreover, under the dual space representation, the ellipse parameter can easily be calculated from the dual conic with the qualification of the ellipse, and the ellipse center will be got at the same time. Then, the RANSAC algorithm is used to match the pair of corresponding points between the calibration image and the calibration plate. The experiment and application result shows that the method is efficiently.
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