聚焦型光场相机在运动恢复结构(SFM)和场景重建等领域中的作用日益显现。但是传统SFM算法因聚焦型光场相机具有特殊的结构而难以直接应用。针对这一问题,提出一种完整的聚焦型光场相机等效多目相机模型。在此基础上,利用传统多目相机的SFM算法,给出了适用于聚焦型光场相机的位姿估计算法示例和点云三角化算法示例。最后,通过仿真实验和真实场景重建实验验证了本文等效多目相机模型和SFM算法的正确性,进而表明聚焦型光场相机的SFM问题可以等价为多目相机的SFM问题。

Focused plenoptic cameras have played an increasingly important role in fields like structure from motion (SFM) and scene reconstruction. However, the traditional SFM algorithms cannot be directly applied to focused plenoptic cameras due to the special structures of the cameras. In order to solve this problem, we proposed a complete equivalent multi-camera model of focused plenoptic cameras. On this basis, we employed the SFM algorithms of the traditional multi-camera to give the algorithm examples suitable for focused plenoptic cameras with regard to pose estimation and point cloud triangulation. Finally, the experimental results of simulations and real scene reconstruction verify the correctness of the equivalent multi-camera model and the SFM algorithms, further indicating that the SFM problem of focused plenoptic cameras can be equivalent to that of multi-camera.