This paper presents a method for recognizing objects in 3D point clouds. Based on a structural model of these objects, we generate hypotheses for the location and 6DoF pose of these models and verify them by matching a CAD model of the object into the point cloud. Our method only needs a CAD model of each object class; no previous training is required