A new method for 3D reconstruction based on light field digital refocu sing and depth-from-focus (DFF) is presented. The effects of the value of digital refocusing param eter λ as well as shooting conditions on reconstructi on results are discussed.Light field is the sum of the radiation functions from all points an d directions in the space,which means that the light field data includes all the 3D geometric information.Series of refocu sing images at different focal planes could be acquired by calculating these lig ht field data,which could retaliate 3D reconst ruction via calculation imaging.During the experiment,first,spatial information is obtained by light field camera-Lytr o.Then,a succession of clear images at different focal planes are reconstructed by digital refocusing with Lytro Deskto p software.At last,3D reconstructed images are achieved by depth-from-focus function with Halcon machine vision software. T he parameter λ characterizes the depth information of refocusing plane,which would impact the reconstruct ion greatly.Reconstructed results show that the accuracy of reconstruction would be higher with more quantit ies－at least 8,and higher symmetry in positive and negative values.At the same time,the reconstruction result would also be affected by some other factors, such as the settled camera parameters,reflection and background.When parameter s are in the appropriate range,objects in different depths could be reconstructed correctly and the reconstructed image co uld be observed from any angle.3D reconstruction in multi-view is obtained by the reconstruction equipment in sin gle view,which is portable and small.The photographing process is convenient,and the system is of high stability.It reduc es the difficulty of photographing and the complexity of reconstructive arithmetic.Besides,using this new method,the dept h-from-focus algorithm could be extended to the large-scale scene and moving objects.