Real-time Three-stage Eye Feature Extraction and Its Applications
Date Issued
2009
Date
2009
Author(s)
Chou, Chien-Nan
Abstract
The diversification of the development in human-computer interaction provides users more and more interactive experience which is totally different than usual. As one of the sense organs that serve as a proxy for human attention and intention, we can give users better interaction closer to their need by observing the change of the eyes. This paper proposes a low-cost system, using a non-infrared off-the-shelf webcam, which can extract and track the eye features on the face. For getting a real-time and robust result, we propose a three-stage method based on the low variety in the geometry of faces so that these eye features just need to be searched in the small eye rectangle derived from that. Also, our system works without IR lights which are easily affected by environmental ambient light, and it ensures getting high accuracy outdoors as well as indoors and being easy to set up in real life.eanwhile, we propose three different kinds of applications based on our eye feature tracking system in order to validate the efficiency and potentiality. First, we determine the eye movement by calculating the distance between the inner eye corner and the iris center, which will be one of the cues including facial expression for automatic video summarization. Second, we provide a view-dependent display to single user by tracking the relative location between his/her eyes and the camera. Finally, we estimate the point-of-gaze on the screen after calibrating the relation between these features and the sample dots shown on the screen.
Subjects
Eye Feature Extraction
Human-Computer Interaction
Type
thesis
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