Three-dimensional object recognition based on 3D invariance
(0) 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.
3D invariant invariance 3D object recognition projective transformation
Yuan Huijuan Qin Guohui Yu jia
College of Measure-control Technology and Communication Engineering Academy of Arts Harbin University of Science and Technology
国际会议
第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology
沈阳
英文
1-7
2008-09-15（万方平台首次上网日期，不代表论文的发表时间）