The problem of Pose estimation based on single camera arises in many areas of computer vision,including object recognition,site inspection and updating,object tracking and autonomous navigationMany methods are used to solve this problem nowadaysThese methods can be categorized into two groups depending on whether correspondence is known:one is to estimate the Pose parameters if the correspondence has been solved; the other is to solve the Pose and correspondence problem simultaneously〖JP〗A new method based on single camera for estimating the Pose parameters of the object is presented in this paperDifferent from the existing methods,the correspondence problem which is coupled with Pose problem is completely avoided in the proposed approachAn energy function including the Pose parameters is defined to the degree of superposition between the model projection and the object area in the imageThe optimal Pose parameters are found by optimizing the energy functionHooke Jeeves Algorithm is used to minimize the energy functionThe performance of the method is evaluated in a variety of simulations on synthetic dataThese tests show that the method is accurate and effective