光学 精密工程, 2018, 26 (3): 708, 网络出版: 2018-04-25   

基于光场相机的深度面光场计算重构

Light field computational reconstruction from focal planes based on light field camera
作者单位
长春理工大学 光电工程学院, 吉林 长春 130022
摘要
光场相机与传统相机不同, 通过在主镜组和传感器间特定位置设置微透镜阵列, 实现在采集物方光强的同时记录光线方向。为了重构物方光场, 研究了基于光场相机的深度面计算重构算法, 对该算法所采用的焦点堆栈、投影切片定理进行研究。首先, 对四维光场定义及光场相机工作原理进行分析; 建立了相机内部深度面重构模型, 分析了投影切片定理在深度面获取的应用, 并推导出不同深度面图像表达式; 根据得到不同深度位置图像, 研究了计算重构算法, 搭建了含有微透镜阵列的微型单相机光场采集系统, 采集原始光场, 利用本文方法实现了物方光场的逆向重构。实验结果表明:利用本文重构算法, 光场相机采集的物方光场可通过滤波计算方法逆向重构, 通过重构光场数据可获得物方场景深度信息。本文深度面获取算法较其他算法节省30%以上的时间, 各深度面图像峰值信噪比在25~30 dB之间, 实现了高精度、稳定可靠的计算光场重构。
Abstract
Different from traditional cameras, light field camera sets a lenslet array between the main lens and the sensor at a specific position, which makes it possible to record the light intensity and the direction of light rays at the same time. In order to reconstruct the object-side light field, the reconstruction algorithm of the focal planes based on the light field camera was studied. Focal stack and projection slice theorem used in the algorithm was researched. Firstly, parameterized 4D light field definition and the working principle of light field camera were analyzed. Secondly, the depth reconstruction model of the camera was established and research the application of the projection slice theorem in getting the focal planes and then Derived the expression of the different focal planes images. Finally, according to the different focal planes images, the computational reconstruction algorithm was studied to realize the reverse reconstruction of the object-side light field. A micro light field camera was built contains lenslet array, collected the original light field, reconstructed the object light field by the method in this paper.The results show that the light field collected by light field camera can be filtered reverse reconstruction of the method proposed in this paper, the depth and the surface of object can be further reconstruction via the light field data. The focal planes images acquisition algorithm in this paper saves more than 30% time compared with other algorithms, and the Peak Signal to Noise Ratio of each focal plane image is between 25-30 dB, which meets the requirements of high precision, stability, reliability and fast speed of light field reconstruction.

陈琦, 徐熙平, 姜肇国, 尹鹏, 王鹤程. 基于光场相机的深度面光场计算重构[J]. 光学 精密工程, 2018, 26(3): 708. CHEN Qi, XU Xi-ping, JIANG Zhao-guo, YIN peng, WANG He-cheng. Light field computational reconstruction from focal planes based on light field camera[J]. Optics and Precision Engineering, 2018, 26(3): 708.

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