Conic-based algorithm for visual line estimation from one image

  • Authors:

  • Haiyuan Wu;Qian Chen;Toshikazu Wada

  • Affiliations:

  • Faculty of Systems Engineering, Wakayama University, Wakayama City, Wakayama, Japan;Faculty of Systems Engineering, Wakayama University, Wakayama City, Wakayama, Japan;Faculty of Systems Engineering, Wakayama University, Wakayama City, Wakayama, Japan

  • Venue:
  • FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
  • Year:
  • 2004

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Abstract

This paper describes a novel method to estimate visual line from a single monocular image. By assuming that the visual lines of the both eyes are parallel and the iris boundaries are circles, we propose a "two-circle" algorithm that can estimate the normal vector of the supporting plane of the iris boundaries, from which the direction of the visual line can be calculated. Most existing gaze estimation algorithms require eye corners and some heuristic knowledge about the structure of the eye in addition to the iris contours. In contrast to the exiting methods, our one does not use either of those additional information. Another advantage of our algorithm is that a camera with an unknown focal length can be used without assuming the orthographical projection. This is a very useful feature because it allows one to use a zoom lens and to change the zooming factor whenever he or she likes. It also gives one more freedom of the camera setting because keeping the camera far from the eyes is not necessary in our method. The extensive experiments over simulated images and real images demonstrate the robustness and the effectiveness of our method.