Using GPU for face detection

Many modern image analysis systems such as digital face image based authentication, 3D reconstruction, entertainment systems and many others, require fast and accurate face detection system. More advanced techniques, achieving better results, usually require high amount of computations and therefore use to much of the system resources. Using parallel GPU architecture in the crucial parts of the algorithms can significantly reduce the time needed for the detection. This paper prooves, that it is possible to use advantages of the GPU over CPU in the face detection on the example of the Discrete Gabor Jets face and facial features detection algorithm.