组合成像中的立体元阵列合成与稀疏视点采集  

Elemental image array generation and sparse viewpoint pickup in integral imaging

作　　者：吕源治[1] 王世刚[1] 张丹彤[2] 

机构地区：[1]吉林大学通信工程学院,长春130012 [2]吉林大学材料科学与工程学院,长春130012

出　　处：《吉林大学学报（工学版）》2013年第S1期1-5,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金重点项目(U0935001);吉林省科技发展计划基础研究项目(20090506);吉林省科技发展计划项目(20100306)

摘　　要：针对组合成像系统中的立体元图像阵列由于采集设备等因素限制而难以实景拍摄的问题,提出了一种利用稀疏视点图像通过并行映射获得立体元图像阵列的方法。该方法首先使用相机阵列拍摄实际景物的稀疏视点图像,然后分别计算每幅图像的水平和垂直视差图并重构出图像中每个像素所对应实际物点的空间位置,最后采用并行映射的方法生成立体元图像阵列,对于立体元图像中仍然存在的空洞,采用插值计算的方法进行填补。实验结果给出了采集到的稀疏视点图像以及合成后的立体元图像阵列,结果表明,合成图像具有连续的视差变化,可以真实再现拍摄对象的空间结构,而且本文方法在实现上优于传统的立体元图像阵列采集方法。To solve the location shooting problem of the elemental image array in integral imaging which is as the result of the pickup device limitations,a novel method to generate elemental image array from the sparse viewpoint images by parallel mapping was proposed.First,a camera array was used to capture the sparse viewpoint images of the objects.Then,the horizontal and vertical disparity maps of every image were calculated,respectively,and the spatial location of the actual object point corresponding to every pixel in the image was reconstructed.Finally,the elemental image array was generated by using the parallel mapping algorithm.For the holes which still exist in the elemental image,the interpolation algorithm was uesd to fill them.The captured sparse viewpoint images and the synthesized elemental image array were presented in the experimental results.The experiment results show that the synthesized image has continuous visual angles and can truly represent the space structure of the subjects.And the proposed method is superior to the traditional elemental image array pickup method in the implementation.

关 键 词：信息处理技术 组合成像 稀疏视点采集 并行映射 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]