The determination of orientation information of a 3D object is a crucial step in hypothesis-verification approach to object recognition. In this paper. two approaches are presented to estimate the orientation parameters of a 3D object from a single image. The first one is based on camera model estimation and analysis. The second one is a hierarchical search method. Simulation experiments are conducted to evaluate the performance of the estimations.