Dynamic attention map by Ising model for human face detection

We present a method to narrow down the search space for scale-invariant human face detection, which uses a dynamic attention map implemented by Ising dynamics. Combining the proposed method and the scale-invariant face detection method which is based on both higher-order local autocorrelation (HLAC) features of a log-polar image and linear discriminant analysis for “face” and “not face” classification, it is shown that the “face” region in the image can be detected faster with some experiments