Three-dimensional object recognition based on 3D invariance
Yuan Huijuan, Qin Guohui, Jia Yuan Yu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
This paper presents a method based on 3D invariant features for the recognition of three-dimensional object. In this method, the projective invariant features are adopted as the representative of the 3D invariance. 3D invariant features are the features that will not change with viewpoints or poses, so they can be used to recognize three-dimensional objects. Exact point-line matching is achieved in use of the point-line characteristics obtained. On this basis, the views relation is established by the 2D projective transformation, and many kinds of 3D invariant features of complicated spatial structures can be neatly extracted by combining real elements and virtual elements. Therefore the three-dimensional object can be recognized. The results indicate that the method could greatly satisfy three-dimensional object recognition.