【摘要】 图像重建一直是图像领域的一个重要研究方向,当前图像重建方法无法获得高精度的重建结果,存在图像重建错误大,时间长等不足,为了获得更加理想的图像重建结果,提出了基于虚拟现实技术的图像重建方法。首先分析当前图像重建的国内外研究进展,找到不同图像重建方法的局限性,然后采集原始图像,引入虚拟现实技术对原始图像进行增强处理,然后提取图像重建特征,并采用支持向量机根据特征进行图像重建,并与其他图像重建方法进行了对比实验,结果表明,该图像重建精度超过了95%,图像重建时间控制在3秒以内,不仅可以满足图像在线重建要求,而且图像重建综合性能要明显优于对比方法,为图像后续处理打下了良好的基础,具有十分重要的实际应用价值。更多还原

【Abstract】 Image reconstruction has always been an important research direction in the field of image processing. The current image reconstruction methods cannot obtain high-precision reconstruction results, and there are some shortcomings such as large errors and long time in image reconstruction. In order to obtain more ideal image reconstruction results, an image reconstruction method based on virtual reality technology is proposed. Firstly, the current research progresses of image reconstruction at home and abroad are analyzed, and the limitations of different image reconstruction methods are found. Then, the original images are collected, and the image reconstruction features are extracted by introducing virtual reality technology. Finally, the support vector machine is used to reconstruct the image according to the characteristics. The experimental results show that the image reconstruction accuracy of this paper is more than 95%, so is satisfactory, the image reconstruction time is controlled within 3 seconds, which can meet the requirements of online image reconstruction. Moreover, the comprehensive performance of image reconstruction is obviously better than the contrast method, which lays a good foundation for image subsequent processing, and has very important practical application value.更多还原