Suppr超能文献

基于视场划分的复杂光学畸变校正计算方法

Computational method for correcting complex optical distortion based on FOV division.

作者信息

Li An, Wu Yisi, Xia Xinxing, Huang Yuejin, Feng Chaoqi, Zheng Zhenrong

出版信息

Appl Opt. 2015 Mar 20;54(9):2441-9. doi: 10.1364/AO.54.002441.

Abstract

We propose a computational method for correcting complex optical distortion in off-axis optical systems, such as the optical systems found in head-mounted and head-up displays. The proposed method divides the wide field of view (FOV) into subsections, thereby allowing the distortion to be calculated for each small FOV. Instead of applying the conventional distortion model, the distortion coefficients for each small FOV can be calculated using a simple linear polynomial. In addition, in contrast to the conventional distortion coefficients that refer to the deviation between the real and paraxial image, the distortion coefficients employed by this method directly characterize the relationship between the object and its image. Thus, using the polynomial in the reverse manner repeatedly for each small FOV with the corresponding distortion coefficients, a pixel lookup table is obtained, which can be used to accurately compensate for the distortion in the optical system. This method avoids complicated computations, and there are no requirements for intrinsic or extrinsic parameters. Our experiments verified the effectiveness of the method where the root-mean-square deviation of the projected distorted straight lines was corrected from 23 to 65 pixels to approximately 1 pixel.

摘要

我们提出了一种用于校正离轴光学系统中复杂光学畸变的计算方法,例如头戴式显示器和抬头显示器中的光学系统。所提出的方法将宽视场(FOV)划分为多个子区域,从而能够针对每个小视场计算畸变。与应用传统畸变模型不同,每个小视场的畸变系数可使用简单的线性多项式来计算。此外,与传统畸变系数(指真实图像与近轴图像之间的偏差)不同,该方法采用的畸变系数直接表征了物体与其图像之间的关系。因此,通过针对每个具有相应畸变系数的小视场反复以相反方式使用多项式,可获得一个像素查找表,该表可用于精确补偿光学系统中的畸变。此方法避免了复杂的计算,并且对内在或外在参数没有要求。我们的实验验证了该方法的有效性,其中投影畸变直线的均方根偏差从23至65像素校正到了约1像素。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验