文件名称：Genetic Model Optimization.pdf
文件大小：381KB
文件格式：PDF
更新时间：2012-10-07 07:17:32
face detection
In our previous work we presented a model-based approach to perform robust, high-speed face localization based on the Hausdor® distance. A crucial step during the design of the system is the choice of an appropriate edge model that ¯ts for a wide range of di®erent human faces. In this paper we present an optimization approach that creates and successively improves such a model by means of genetic algorithms. To speed up the process and to prevent early saturation we use a special bootstrapping method on the sample set. Several initialization functions are tested and compared.