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基于双向映射的非网格型全向图展开插值方法
引用本文:陈立栋,王炜,贺琳,陈旺.基于双向映射的非网格型全向图展开插值方法[J].国防科技大学学报,2010,32(4):105-109.
作者姓名:陈立栋  王炜  贺琳  陈旺
作者单位:1. 国防科技大学,信息系统与管理学院,湖南,长沙,410073
2. 中国人民解放军96616部队,北京,100085
基金项目:国家自然科学基金资助项目,国家863计划资助项目 
摘    要:原始的全向图存在严重的同心圆环状变形,通常需展开为更适合人眼观察的柱面全景图像。结合折反射全向成像特点,提出一种基于双向映射的全向图展开为柱面全景图像的插值方法,通过光路跟踪得到图像间的坐标映射关系,将所要生成的柱面全景图中每一点正向映射到原始的全向图中,确定插值邻域点;将这些邻域点逆向投影到柱面全景图中,针对邻域点在柱面全景图中呈非网格型分布的特点,采用非均匀二维插值算法进行图像插值运算。该方法既准确地定位插值邻域点,又避免了全向图的非线性畸变对邻域点权重计算的不利影响。实验证明该方法能有效提高插值精度和展开后图像的质量。

关 键 词:全向成像  柱面全景展开  双向映射  非线性畸变  非网格型插值
收稿时间:2009/12/25 0:00:00

Panoramic Unwrapping Interpolation Method of Omnidirectional Images Based on Bidirectional Mapping
CHEN Lidong,WANG Wei,HE Lin and CHEN Wang.Panoramic Unwrapping Interpolation Method of Omnidirectional Images Based on Bidirectional Mapping[J].Journal of National University of Defense Technology,2010,32(4):105-109.
Authors:CHEN Lidong  WANG Wei  HE Lin and CHEN Wang
Institution:1.College of Information System and Management, National Univ. of Defense Technology, Changsha 410073, China;1.College of Information System and Management, National Univ. of Defense Technology, Changsha 410073, China;2.Unit 96616 of PLA, Beijing 100085, China;1.College of Information System and Management, National Univ. of Defense Technology, Changsha 410073, China
Abstract:Original omnidirectional images usually need to be unwrapped to cylindrical panoramic images according to human visual habits because of concentric annular distortion. According to the characteristics of catadioptric omnidirectional imaging, an interpolation method for panoramic unwrapping based on bidirectional mapping was proposed. The coordinate mapping relationships were obtained by tracking optical path. Firstly, each pixel in the target cylindrical panoramic image was projected backward onto the original omnidirectional image, and the neighboring pixels for interpolation were located. Then, all the neighboring pixels were projected forward onto the cylindrical panoramic image, and the color value of the target pixel was interpolated by using inverse distance weighted method or 3D-plane interpolation method due to the scattered distribution of the neighboring pixels in cylindrical panoramic images. The proposed method avoids the adverse effect on computing the interpolation weight of neighboring pixels caused by the nonlinear distortion, and the neighboring pixels for interpolation are also accurately located. The experimental results indicate that the proposed method is effective for enhancing the precision of interpolation and the image quality of unwrapped panoramic images.
Keywords:
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