Abstract
We present a human point of gaze estimation system using corneal surface reflection and omni-directional image taken by a fish eye. Only capturing an eye image, our system entables to find where a user is looking in 360P surrounding scene image. We first generates multiple perspective scene images from an equi-rectangular image and perform registration between corneal reflection and perspective images. We then compute the point of gaze using a 3D eye model and project the point to an omni-directional image. We evaluated the robustness of registration and accuracy of PoG estimations using two indoor and five outdoor scenes, and found that gaze mapping error was 5.526[deg] on average. This result shows the potential to the marketing and outdoor training system.
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