High Speed and Robust Infrared-Guiding Multiuser Eye Localization System for Autostereoscopic Display
2020
In order to localize the viewers’ eyes, a high-speed and robust
infrared-guiding multiuser eye localization system was fabricated in this
paper for a binocular autostereoscopic display, which can project a pair
of parallax images to corresponding eyes. The system is composed of a
low-resolution thermal infrared camera, a pair of high-resolution left and
right visible spectral cameras, and an industrial computer. The infrared
camera and the left visible spectral camera, and the left and right
visible spectral camera, can both form the binocular vision system. The
thermal infrared camera can capture the thermography images. The left and
right visible spectral cameras can capture the left and right visible
spectral images, respectively. Owing to the temperature difference between
the face and background, the features of the face in thermography images
are prominent. We use the YOLO-V3 neural network to detect the viewers’
faces in thermography images. Owing to the different features of the
pseudo and real faces in the infrared spectral, in the thermography
images, the pseudo-faces can be easily eliminated. According to the
positions and sizes of potential bounding boxes of the detected faces in
the thermography images, the industrial computer can be guided to
determine the left candidate regions in the left visible spectral image.
Then, the industrial computer can determine the right candidate regions in
the right visible spectral image. In the left candidate regions, the
industrial computer detects the faces and localize the eyes by using the
SeetaFace algorithm. The template matching is performed between the left
and right candidate regions to calculate the accurate distance between the
viewer and the system. The average detection time of the proposed method
is about 3–8 ms. Compared with traditional methods, the localization time
is improved by 86.7%–90.1%. Further, the proposed method is hardly
influenced by the pseudo-faces and the strong ambient light.
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