T h ree-dimensional (3D) s ha p e models have recentl y been used in various fields including machine designing, internet mall, and medical a pp lication. Therefore, efficient management and reuse of 3D sha p e models is becoming im p ortant with research on object searching of 3D sha p e models. 3D sha p e model searching requires taking into consideration rotation, scaling, and translation of models. This p a p er p ro p oses a method to search 3D objects to include and account for the above conditions. The p ro p osed method acquires 2D range images b y rendering a 3D object from man y view p oints, and discretel y a pp roximating two of the three degrees of rotational freedom b y a finite number of view p oints. Using the p hase correlation method on the range image one can estimate the rotation around one axis, include scaling and translation, and com p are the similarities between the in p ut with models in a dictionar y . Ex p erimental results show that whether models match or not match can be distinguished even when the su pp osed view p oints are limited to a finite number.