Improving Augmented Reality Applications on Commodity Hardware With Optical Flow

نویسندگان

  • Kyriakos Herakleous
  • Charalambos Poullis
چکیده

This paper presents an augmented reality application framework which does not require specialized hardware or pre-calibration. Features extracted using SURF are matched between consecutive frames in order to determine the motion of the detected known object with respect to the camera. Next, a bi-directional optical flow algorithm is used to maintain the performance of the system to realtime. The system has been tested on two case studies, a children’s book and advertisement, and the results are reported.

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تاریخ انتشار 2012