The Research Of Eye Tracking And Its Application In Naked-eye 3D Dispaly

With the quick advances in the display technology, the naked-eye stereoscopic display solutions have been proposed in order to achieve a more comfortable viewing experience. Among these technologies, the grating auto-stereoscopic display is widely researched by major display companies and academic institutes because of its unique advantages. However, traditional raster stereoscopic display technologies can only form limited best viewpoints in space, which means when the user’s head moves outside of the best viewpoints, inevitable crosstalk would seriously affects the three-dimensional visual experience. In response to this problem, it is believed that an eye-tracking stereoscopic display system can effectively reduce the image crosstalk by tracking the position of the human eyes and moving the RGB sub-pixels to change the location of the best viewpoints in real-time.Therefore, the human-eye detection is identified as the primary research purpose of this project. Furthermore, because of the successful research of a two-dimensional human eye tracking and the development of optics and computer science, this project proposed and researched the three-dimensional image application in the field of human-eye detection. Moreover, the human-eye detection is applied to the naked-eye 3D display as well. The milestones of this project are:First, based on the principle of binocular vision of the human eye, this project analyzes the necessary conditions to achieve a three-dimensional stereoscopic display. Furthermore, a prototype is built based on the stereoscopic display principle; Second, based on the analysis of the Haar eigenvalue and the integral image computing principles, as well as the research on the Kalman filter, an improved recognition algorithm is proposed by combining the AdaBoost cascade classifier and Kalman filtering. And experiments have verified this new improved algorithm. Third, using Matlab do the experimental simulation of four-step phase shifting which is a three-dimensional profilemetry based on the principle of phase, and phase unwrapping algorithms are introduced and implemented. The human eye center position detection method, based on a binary raster projection,is proposed and the coding and encoding algorithm of grating boundaries is proposed and implemented, using pixel offsets to get the points’ height profile of the distribution, and both of the software simulation and actual experiments are conducted to verify the feasibility of the program. Moreover, the image binarization and noise filtering technology are involved during the implementation. Fourth, on the basis of the human eye detection and tracking studies, a human eye tracking module of a tracking slit grating naked eye 3D display system and hardware module of sub-pixels rearrangement are integrated to achieve a lower crosstalk effect when head movements occur by rearranging the corresponding sub-pixels.