Using Mutual Information To Combine Object Models

This paper introduces a randomized method for combining diierent object models. By determining a connguration of the models, which maximizes their mutual information, the proposed method creates a uniied hypothesis from multiple object models on the y, without prior training. To validate the eeectiveness of the proposed method, experiments are conducted in which human faces are detected and localized in images by combining diierent face models.