Content-Aware Eye Tracking for Autostereoscopic 3D Display

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 17; p. 4787
• Main Authors: Kang, Dongwoo, Heo, Jingu
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 25.08.2020; MDPI
• Subjects: Accuracy; Algorithms; augmented reality display; Autostereoscopic; autostereoscopic three-dimensional display; Consumer electronics; content-aware eye alignment; Crosstalk; Digital cameras; Display devices; error reinforcement learning; eye detection; Eye movements; eye tracking; Eye-Tracking Technology; Eyeglasses; Eyewear; Face recognition; Image classification; Imaging, Three-Dimensional; Infrared cameras; Light; Light emitting diodes; Machine learning; Methods; Near infrared radiation; Neural networks; Nose; Smartphones; autostereoscopic three-dimensional display; augmented reality display; error reinforcement learning; eye tracking; content-aware eye alignment; eye detection

This study develops an eye tracking method for autostereoscopic three-dimensional (3D) display systems for use in various environments. The eye tracking-based autostereoscopic 3D display provides low crosstalk and high-resolution 3D image experience seamlessly without 3D eyeglasses by overcoming the...