Boosted complex moments for discriminant rotation invariant object recognition
This paper proposes a method for constructing a discriminative rotation invariant object recognition system from the set of complex moments by using a multi-class boosting algorithm. Experimental results show that a large of number images can be discriminated accurately with only a small number of features. This basically means economy of computational effort in feature acquisition and also possibility of higher speed in recognition task.