WANG Yao-yao,ZHANGJuan,ZHAO Xue-wei,SONG Li-pei,ZHANGBo,ZHAO Xing.Depth extraction method with high accuracy in integral imaging based on moving array lenslet technique[J].Optoelectronics Letters,2018,14(2):148-151
Depth extraction method with high accuracy in integral imaging based on moving array lenslet technique
Author NameAffiliation
WANG Yao-yao Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China 
ZHANGJuan Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China 
ZHAO Xue-wei Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China 
SONG Li-pei Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China 
ZHANGBo Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China 
ZHAO Xing Key Laboratory of Optical Information Science and Technology, Ministry of Education of China, Institute of Modern Optics, Nankai University, Tianjin 300350, China
Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin 300350, China 
Abstract:
      In order to improve depth extraction accuracy, a method using moving array lenslet technique (MALT) in pickup stage is proposed, which can decrease the depth interval caused by pixelation. In this method, the lenslet array is moved along the horizontal and vertical directions simultaneously for N times in a pitch to get N sets of elemental images. Computational integral imaging reconstruction method for MALT is taken to obtain the slice images of the 3D scene, and the sum modulus (SMD) blur metric is taken on these slice images to achieve the depth information of the 3D scene. Simulation and optical experiments are carried out to verify the feasibility of this method.
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