计算集成成像是目前三维重构与显示领域的主流研究方向,是ー种基于透镜阵列来获取和重 现目标场景三维的技木,针对集成成像采集的子图特征点匹配问题,传统的图像匹配方法匹配点少、 耗费时间长、容易产生局部极值等问题.为了获取更多的匹配点,在原有SIFT配准算法基础上进行了适当的改进,实现集成成像稠密的图像配准,较大地缩短了配准时间.

Computational Integral Imaging (CII) technology is one of the main research directions in the field of 3D reconstruction and display.It is one kind of technologies based on lens array which is to obtain and reconstruct the goal 3D scene.According to feature point matching problem in integral imaging sub-graphs,the traditional method of image matching is not good enough because of poor matching points,huge time consumption in gand producing local minima.In order to get more matching points,we make the appropriate improvement in original image registration algorithm based on SIFT.It realizes dense image registration and shortens the time consumption.