With the progress of the age, the popularization of the computer and the internet, the text, images, photographs and varieties of multimedia will be uploaded to groups of the network space or cloud storage space by users. Thus, the multimedia data and technology have to renew and transfer by user constantly. How to search the images economically is a significant issue. This paper will focus on 3D images for in-depth investigate. It will propose an efficient 3D searching method. The analytical object is used by three-dimensional trademark gallery of the Intellectual Property Office of the Ministry of Economic Affairs, R.O.C. One three-dimensional trademark image expresses by a set of 2D images. This paper uses Harris Corner detection and combines CPDH (contour points distribution histogram) method to extract the shape feature and uses color histogram to refine the color feature. And then, the two features help to retrieve the similar 3D images. Experiment verifies that the method we proposed is effective.