Shape from Focus (SFF) is a passive technique that is used to recover the 3D shape of an object using a series of images with different focus settings. When 2D image sequences are obtained with a specific sampling step size along the optical axis in SFF, mechanical vibrations occur in the position of each image frame. These mechanical vibrations, also referred as jitter noise, affect the accuracy of 3D shape recovery. In this manuscript, the jitter noise and focus curves are modeled as Gaussian function. This is followed by a Bayes filter application, designed to reduce the jitter noise. The filter is applied to each image frame in the Gaussian approximation of the focus curve. The proposed method is experimented by using synthetic and real objects to show performance improvement.