三维集成成像系统中物体三维信息的重建方法  

Reconstruction of three-dimensional information in an integral imaging system

作　　者：杨钉钉[1] 王晓蕊[1] 杨琛[1] 向健勇[1] 张方芳[2] 

机构地区：[1]西安电子科技大学技术物理学院,陕西西安710071 [2]西安理工大学自动化与信息工程学院,陕西西安710048

出　　处：《西安电子科技大学学报》2012年第5期102-106,153,共6页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61007014);基本科研业务费资助项目(72104964)

摘　　要：依据三维集成成像特性,以立体视觉理论为基础,提出了一种基于点对匹配的单元图像立体匹配算法,建立了单元图像像素到重建三维物体点的精确映射关系,实现了三维集成图像的重建.最后,提出一种符合人眼视觉观测效果的评价尺度,定量分析了不同设计参数对三维图像重建结果的影响。Computational reconstruction of integral imaging is an important research on three-dimensional image visualization and stereoscopic display. In this paper, according to integral imaging mechanisms, we propose a new points pairs based stereo matching algorithm for element images on the basis of stereoscopic vision theory, which can be used to accurately determine the mapping relationship between the pixels in the element images and the reconstructed voxel points, and the three-dimensional integral image reconstruction results are implemented. Further, we propose a figure of merit consistent with the human visual system, which can perform the quantitative analysis of the impact of different parameters on the reconstruction results.

关 键 词：三维集成成像 三维重构 三维图像处理 微透镜阵列 计算重建 

分 类 号：TN29[电子电信—物理电子学]