Three-dimensional object reconstruction from two-dimensional images has attracted much attention due to its wide range of practical applications. Recently, various efficient 3D reconstruction methods have been developed. Most conventional methods, however, exhibit certain disadvantages such as complex computation for finding disparity and correspondence and huge number of input images for high-resolution reconstruction. The proposed method reconstructs a 3D object with significantly reduced number of input images based on the interpolation theory. By using two input images taken from different angles, an image which is seen from any angle in between them can be obtained by the proposed 3D interpolation method. For simple objects such as a cylinder or a cubic, if we know some parameters including radius of the object and camera rotation angle about input images, we don't have to find disparity to reconstruct the 3D structure. In the proposed method, we can obtain 3D images without significant amount of computation. The proposed method can be used in developing inexpensive computer tomography systems, 3D X-ray inspection systems, and virtual prototyping products.