Abstract
To improve the human-computer interaction, it is very important to estimate the user's intention by analyzing the human behaviors such as the gesture and the gazing. The goal of our study is to detect the face orientation as the primary information at least several times per second and less than five-degree estimation error. In this paper,we propose the real-time algorithm to recognize the face orientation. The basic concept of the algorithm is to combine the simple and compensational methods. Three types of algorithm are shown as examples that compensate each other and analyzed the compensational characteristics. Based on the analysis, the combination formula is deduced. It includes the compensation of the central position and the direction data and the weighted-averaging of the plural output data. The experiment shows that the algorithm can successfully recognize the vertical and the horizontal orientation of the face at two times a second on the personal computer and the effect of the compensation is large.
