Bound on matching error
Firooz A. Sadjadi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In matching of the images that are obtained from different sources one often observes inherent discrepancies that exist among them. These discrepancies can cause degradation in the object recognition performance, or errors in image registration system that are the basis of some automatic navigational systems. In this paper, a lower bound on the matching error is derived by using a model that treats the two images as being the two ends of a communication channel. Then rate distortion theory is applied to obtain a relationship between the matching error and the statistical properties of the images. The resulting bound can be used to predict the matching error, or used in the selection of the proper model and reference images, and in the performance evaluation of the target recognition systems.