Research On Technology Of Naked-eye 3D Display Based On Binocular Stereo Vision

The traditional two-dimensional display technology lacks depth information, and this problem is solved well by 3d display technology, it can make us feel more comprehensive and true stereo feelings. The 3d display technology has been widely used in medicine, education, military, commercial, entertainment and many other fields. The research on binocular stereo vision has important value and real significant.Binocular stereo vision technology is one of the important fields in computer vision technology, It can obtain 3d(three-dimensional) information of the object in the scene accurately based on parallax principle. Binocular stereo vision directly simulate man’s eyes processing information manners to compute the three-dimensional information, that is, the use of two cameras shooting the same scene from different locations, and recover the three-dimensional information. In non-naked-eye 3d display technology we need wear polarized glasses, shutter glasses, complementary color glasses or other auxiliary tools, therefore it cannot liberate our eyes, so this way is not applicable in many occasions. The naked-eye 3d technology based on binocular stereo vision is one of the best choices, it no longer need to wear glasses, observers can watch the screen without any restrictions, this technology is more flexible, and it can provide observers with accurate scene information.Extracting disparity images which contain depth information from planar images and transforming depth images to stereo images, it needs a series of new technologies, such as camera calibration, stereo matching, DIBR technology and autostereoscopic display and so on. This paper mainly focuses on camera calibration and correction technology, stereo matching algorithm and simulation of DIBR technology, the main research contents are listed as follows:1 The overview of binocular stereo vision technology and planar 3d display technology. This part includes principles and theories of binocular stereo vision and planar 3d display technology, their domestic and foreign research at present and past, and their applications in medical surgery.2 The analysis of the models of binocular stereo vision system. In this part we express the optical principle of 3d display and the imaging theory of stereo vision with the reality feelings, combined with the introduction of the different 3d display technologies, introduce the concept of disparity, structure the geometric model of binocular stereo vision and the mathematical relationship of the scene information.3 The research of the camera calibration and correction. Analyze the features of the imaging models of camera, the main research includes the coordinate transformation and mathematical principles of the traditional camera calibration methods. Calibrate the binocular cameras by Zhangzhengyou method based on Open CV platform, obtain the intrinsic and external parameters of the cameras, and on the basis of calibration we correct the images by BOUGUET algorithm.4 The research on stereo matching algorithm based on wavelet transform and noise visibility function. Compare and analyze the present matching methods, found the stereo matching based on image segmentation has great advantages, this paper proposes a novel method of stereo matching, which decomposes object images into a set of sub-bands by discrete wavelet transform, then modifies each sub-band image, and improves the matching quality of each sub-band image by implementing discrete inverse wavelet transform. On this basis we estimate disparity of each modified image, and merge different sub-band disparity maps into a final disparity map using HVS model. Experimental results demonstrate the proposed algorithm achieve a high-precision than the existing algorithm.Accomplished the simulation of the stereo matching algorithm based on wavelet transform and noise visibility function and DIBR technology according to the above research results. The software was designed on VC platform by Open CV vision library. And at last accomplished the experiments of images capturing, the camera calibration and correction, depth image generating and stereo images synthesizing on the binocular stereo vision hardware platform, the results show that the error of the depth image is small and it can reveal the scene information effectively.