One of most widely used method for image analysis, reconstruction and retrieval is Fourier Mellin Transform (FMT) which is also invariant to similarity transformation. In this paper, we have introduced FMT to the field of 3D shape retrieval. The whole procedure includes three steps: 1) generate silhouettes along the six principle directions for each 3D model; 2) compute a collection of FMT coefficients for all the silhouettes, which are translation, scale, and rotation invariant; and 3) compute a match measure between the query coefficients collection and those in the 3D shape repositories. Our experimental results validate the effectiveness of our approach.