A low power and high performance face detection on mobile GPU

Face detection is one of the most popular computer vision applications on mobile platforms. It is a compute-intensive task that consumes significant energy. In this paper, we present an energy efficient face detection implementation that offloads data- and compute-intensive portions of the application onto low-power mobile GPU to save overall power consumption without sacrificing performance. Our experiment on a state-of-the-art mobile processor demonstrates that our proposed approach saves power consumption up to 14.3% and improves performance by 87% over traditional CPU only execution.