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.