Fig 4 - uploaded by Quan Wang
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(A). Interactive Display. White dot moving along the trajectory of a circle. (B). While the interactive pattern is displayed, face detection was carried out at the same time on an image from EyeTribe camera. (C). After face detection step, eye Tracking Process.
Source publication
Face recognition has been widely applied to identification/authentication systems [1, 2, 3, 4, 5, 6], however, a considerable drawback of conventional face recognition when used alone lies in its limited ability to distinguish between living human user and 2D photos or pre-recorded videos of the user’s face. To address the risk of these systems bei...
Contexts in source publication
Context 1
... radius of circle is set as half of the screen height, with speed at 240 degree/second. The trajectory is shown in Fig.4. (A). ...
Context 2
... the main program is running in background, several images were captured for face-recognition at random time points while the user followed the moving dot. An Eyetribe was used as an imaging unit to directly output images of the users' faces (Fig.4 (B)). The image sequences from Eyetribe are in gray-scale and have resolution of 1280*768 with 10 frame per second. These images are used for face recognition as well as further calculating of eyes' location from video ...
Context 3
... Start point of Eye Boxes (SB): Boxes are the region we are interested in, the eye region, red rectangles in Fig.4. SS is the top left corner location in the picture. ...
