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.

[1]  Lawrence Sirovich,et al.  Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Takio Kurita,et al.  Scale invariant face detection method using higher-order local autocorrelation features extracted from log-polar image , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[3]  Harvey Gould,et al.  An Introduction to Computer Simulation Methods: Applications to Physical Systems , 2006 .

[4]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Takio Kurita,et al.  A face recognition method using higher order local autocorrelation and multivariate analysis , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[6]  Takeo Kanade,et al.  Human Face Detection in Visual Scenes , 1995, NIPS.

[7]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[8]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Takio Kurita,et al.  Scale and Rotation Invariant Recognition Method Using Higher-Order Local Autocorrelation Features of Log-Polar Image , 1998, ACCV.

[10]  M. Mézard,et al.  Spin Glass Theory and Beyond , 1987 .