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Motion Deblur Based on the Distributed Optical- Arrays System

Song Xue, Quan Pan, Chunhui Zhao, Yizhai Zhang


In order to alleviate the blur of target caused by the local motion, we have constructed a distributed opticalarrays system with six cameras that consist of three distributed arrays. The target association algorithm using Gaussian Mixture Model (GMM) and template matching is proposed to recognize the same target within inner-array. The motion of target is triangulated after the 3D scene flow is estimated that was used for describe the three-dimensional motion of moving target in the view. Finally, based on linear interpolation, the point spread function (PSF) was estimated to deblur the fuzzy targets. The experiments demonstrate the feasibility and effectiveness of the developed system.

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