Three dimensional surface reconstruction based on light field imaging

Traditional imaging methods can not capture axial information through one shot, which lead to information deficiency and incapability of three dimentional surface reconstruction. Unlike traditional camera, lytro's first generation pocket-sized camera using light field sensor can capture multi-dimensional light field information through one single exposure, and at the same time it has advantages such as portable. By using light field camera, with digital refocusing method, defocusing and correspondence cues, acquirement of high quality depth map can be realized. By using matlab platform to process acquired depth map matrix, reconstruction of three dimensional surface can be realized. Normalized depth data of object space is obtained. In this experiment, three dimensional surface reconstruction is realized with average error of 5.47% in depth range of 100mm to 1 500 mm, and maximum reconstruction error is 8.30%.