Binocular stereo vision technology is an important research direction in the field of computer vision. It is based on the binocular disparity to accurately obtain three-dimensional information on the surface of space objects. Similar to the human eyes system, the binocular stereo vision is supposed to shoot the same scene with two cameras to capture the accurate distance. With the distance information, a three dimension picture can be rebuilt. The thesis includes the characteristics of the human eye's visual system, camera calibration and correction, and the stereo matching algorithm. After that, the image pair acquired by the binocular camera is used to perform the matching process. By combining with the human eye gaze model to simulate the effect of the human eye observation scene. Through simulation, the advantages and disadvantages of different matching algorithms are analyzed and combined with the foveation model to simulate the gaze effect of the human eye, which conforms to the intuitive experience of human vision.
In this paper we introduce the principle of the monocular ranging algorithm based on constraints on trajectory and line of sight, focusing on the long-distance detection for moving point targets. Simulations and experiments based on the proposed algorithm are carried out, in which the various factors related to the performance are analyzed. The results show that the improved algorithm is more suitable for long-distance air-to-air detection than traditional methods. As for the accuracy in the long ranging detecting situations, increasing the measurement time and the acceleration of the flying platform can improve the ranging accuracy. Furthermore, enhancing the angle measurement accuracy of the optical components can effectively improve the ranging accuracy.
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