Tuesday, March 18, 2008

Inspiration: Real-Time Facial and Eye Gaze Tracking System (Park&Kim, 2005)

While my main concern is gaze interaction it´s important to understand the underlying technology which makes it all possible (and the limitation it poses) Much work has gone into solving issues surrounding image processing that makes the "new" remote eye tracking systems we see today possible. One solution to battle the low resolution of cameras is presented in the paper below (using dual cameras) Additionally, the issues of reflections from glasses solved using dual IR-leds. Interesting paper, technical information on Kahlman algorithms etc. used to achieve a 15 frames / second eye tracker on an old Pentium IV 2.0GHz.

The goal of gaze detection is to locate the position (on a monitor) where a user is looking. Previous researches use one wide view camera, which can capture the user's entire face. However, the image resolution is too low with such a camera and the fine movements of user's eye cannot be exactly detected. So, we propose the new gaze detection system with dual cameras (a wide and a narrow view camera). In order to locate the user's eye position accurately, the narrow-view camera has the functionalities of auto focusing/panning/tilting based on the detected 3D eye positions from the wide view camera. In addition, we use the IR-LED illuminators for wide and narrow view camera, which can ease the detecting of facial features, pupil and iris position. To overcome the problem of specular reflection on glasses by illuminator, we use dual IR-LED illuminators for wide and narrow view camera and detect the accurate eye position, which is not hidden by the specular reflection. Experimental results show that the gaze detection error between the computed positions and the real ones is about 2.89 cm of RMS error.

The paper is written by prof. Kang Ryoung Park who is heading the Computer Graphics & Vision department at the Sangmyung University, Korea (publications)

Co-author prof. Jaihie Kim is the head of the Computer Vision lab at the Yonsei University, Korea (publications)

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