An Improved GRAS Algorithm Using Archimedes's Spiral
Yanjun Zhao, M. Haseyama, Hikaru Kitajima · 2006
In this paper an improvement is proposed to solve a problem in the object recognition using GRAS: when an object is rotated, the change may not be acceptable by GRAS in most cases. The proposed algorithm searches the shape of a given object to define some nodes by Archimedes's spiral, and transforms the nodes into a directed graph. Then, it defines some interrelated graph characteristics to compare the given object with others. The performance of the proposed algorithm is presented via experimental results which compare the recognition accuracy of GRAS and proposed algorithm.