A real-time orientation feature descriptor for portable devices

A real-time orientation feature descriptor for portable devices is introduced. The descriptor requires very low computational resources and has 16 dimensions shorter than all existing methods. The patch of a candidate feature is firstly segmented into polar arranged sub-regions, which enables us to achieve rotation invariance rapidly. Furthermore, the principal orientation is used to describe each sub-region. The computations can be considerably accelerated by using integral image. The descriptor is used for object tracking and achieves 25 fps frame rate on mobile phone. Experimental results demonstrate that the proposed method offers sufficient matching performance.