Genetic programming based classifier in Viola-Jones RapidMiner Image Mining Extension
Jan Karásek, Radim Bürget, Jan Mašek, Ondrej Benda · 2013
This paper presents a new approach to the classifier design used in the Viola-Jones object detector implemented in RadpidMiner Image Mining Extension. The new approach to the classifier design proposed in this paper is in fact creation of a classification tree designed by a genetic programming algorithm. The resulting classifier is used as an alternative approach to the standard cascade classifier designed by a genetic algorithm. In this paper, a classifier design is shown, the incorporation into the Viola-Jones operator is described, and experimental results of face classification process are depicted and compared to the standard cascade classifier designed by genetic algorithm.