Object and pose recognition with cellular genetic algorithms
Timo J. Mantere · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
We have studied the use of cellular automata and cellular genetic algorithms for the object recognition, pose recognition, and image classification problems. The cellular genetic algorithm is a genetic algorithm that has some similarities with cellular automata. The preliminary results seem to support the hypothesis that in principle this kind of object and pose recognition and image classification method works relatively well. The problem with the proposed method is a large amount of calculations needed when we are testing the unknown object against the objects in the comparison set.