A genetic algorithm for projective invariant object recognition
P.W.M. Tsang, A.T.S. Au · 2002
A genetic algorithm is developed for recognition of near planar objects under projective transformation. The approach can be generalised in any 2D geometric transformation. No approximation to perspective projection is required, so the camera used for capturing the objects is allowed to locate at arbitrary position away from the scene. A genetic algorithm is employed to search for the optimal solution in order to identify the object and to estimate its location with reference to the model. Encouraging results were obtained by testing the approach from a number of industrial handtools.