Application of classifiers to sub-sampled integral images for detecting faces in images

摘要

A method for more efficiently detecting faces in images is disclosed. The integral image of an image may be calculated. The integral image may be sub-sampled to generate one or more sub-sampled integral images. A plurality of classifiers may be applied in one or more stages to regions of each sub-sampled integral image, where the application of the classifiers may produce classification data. The classification data may be used to determine if a face is associated with any of the regions of each sub-sampled integral image. The face determination results may be used to modify the original image such that, when rendered, the image is displayed with a graphical object identifying the face in the image. Accordingly, face detection processing efficiency may be increased by reducing the number of integral image calculations and processing localized data through application of classifiers to sub-sampled integral images.