Camera focus controlled by face detection on GPU
Karl K. Berggren · 2008
This master thesis investigates the possibility to use the GPU of a mobile platform to detect faces and adjust the focus of the camera accordingly. Requirements for such an application are given, and dierent methods for face detection are described and evaluated according to these requirements. A GPU implementation of the cascade classifier is described. A CPU reference implementation with results is also presented. Methods for setting focus correctly when faces are detected are discussed. Issues when working with OpenGL ES 2.0 are described, and finally future work in the area is proposed.