基于同名点间距变换的三维显示参数匹配

摘要

传统集成成像系统以重构场景为记录场景的镜像,而当用相机阵列代替透镜阵列获取元素图像时,两种阵列参数的不匹配会破坏上述镜像关系.为了得到相机阵列获取的元素图像经透镜阵列重构后的物像关系,本文提出用同名点间距计算集成成像重构像距的方法.该方法通过获取端场景物距、相机焦距等参数,得到同名点间距,并等效至重构端透镜阵列系统来实现光学参数的匹配.理论计算表明,同名点间距不同,得到的重构像距也不同.对与透镜阵列参数匹配的同名点间距进行变换处理,即可精确再现不同重构像距的景物.最后,通过实验验证了本文所提方法的有效性.%Three-dimensional scene is the mirror image of recording scene in a traditional integral imaging system. However, when a camera array is employed to capture elemental images, it can not be reconstructed correctly becaused of the mismatch between the parameters of lens array and the parameters of camera array. In order to rebuild a new relationship between the reconstructed image distance and the parameters of elemental images, a new method by using the Space of Corresponding Image Points (SCIP) to calculate the reconstructed image distance is proposed. In this method, the SCIP is a function of the object distance of scene, the focal length of camera and other parameters. It is equivalent to the lens array in the process of image reconstruction. By transforming the SCIP matched with the parameters of lens array, the scene with different reconstracted image distances can be reconstructed exactly. By experiments, this paper verifies that different SCIPs can result in different reconstructed image distances theoretically and experimentally.