Binocular stereo vision technology based on human visual characteristics

Abstract

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.