中文摘要：

光场相机成像模型与参数标定方法是拓展光场应用的理论基础和关键环节，已成为计算光场领域的研究热点。不同于传统相机的成像原理，光场相机通过新颖的光学系统将场景中的光线按照某种给定关系与图像传感器像元进行对应，实现对三维空间中光线位置和角度信息的采样与记录，可通过计算摄影学恢复场景的三维结构。利用微透镜阵列分析了光场相机标定的成像模型和参数化模型，比较了不同物理参数设置对光场采样结果的影响；分析了光场相机的光线提取与校正方法、参数标定模型、误差定义与精度度量等主要问题，对光场相机参数标定方法进行了归纳和总结。

英文摘要：

Imaging model and parameter calibration method on light field camera are the theoretical basis and key points on computer vision applications, and drawing a great number of attentions in computational photography. Different from the principle of traditional camera, light field camera corresponds the light in the scene with imaging sensor pixel of novel optical systems according to a given relationship, both the position and angular information of ray are sampled and recorded and it is able to recover the three dimensional structure of real scene by computational photography. The model and the calibration of light field camera are analyzed with micro-lens array, and the effects of different physical parameters on the results of light field sampling are compared. Then major problems of calibration on light field camera are analyzed, including decoding, calibration model, error analysis and evaluation. The parameter calibration method of light field camera is induced and summarized.