A target recognition technique employing geometric invariants

作者:

Highlights:

摘要

In this paper, we propose an efficient target recognition technique in the complex scenes. For the viewpoint invariant matching, the well-known geometric invariants, the invariants of five coplanar points and the invariants of five coplanar lines, which are invariant under the projective transform, are employed. To alleviate the computational complexity, the circular ordered matching technique and compatibility test are proposed, utilizing the geometric properties. Moreover, stability of the invariants for five coplanar points to the input noise is analyzed, and a method to select the stable invariants is also suggested. The performance of the proposed algorithm is evaluated on both various synthetic and real images. The results of the experiments show that the proposed matching technique is both effective and stable to the input noise for the target recognition in complex images.

论文关键词:Target recognition,Geometric invariant,Circular ordered matching,Stability,Selection rule

论文评审过程:Received 26 March 1998, Revised 9 December 1998, Accepted 2 March 1999, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(99)00085-0