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首页> 外文会议>Conference on Stereoscopic Displays and Applications; 20080128-30; San Jose,CA(US) >Study of a Viewer Tracking System with Multi-View 3D Display
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Study of a Viewer Tracking System with Multi-View 3D Display

机译：具有多视图3D显示的查看器跟踪系统的研究

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摘要

An autostereoscopic display provides users great enjoyment of stereo visualization without uncomfortable and inconvenient drawbacks of wearing stereo glasses. However, bandwidth constraints of current multi-view 3D display severely restrict the number of views that can be simultaneously displayed without degrading resolution or increasing display cost unacceptably. An alternative to multiple view presentation is that the position of observer can be measured by using viewer-tracking sensor. It is a very important module of the viewer-tracking component for fluently rendering and accurately projecting the stereo video. In order to render stereo content with respect to user's view points and to optically project the content onto the left and right eyes of the user accurately, the real-time viewer tracking technique that allows the user to move around freely when watching the autostereoscopic display is developed in this study. It comprises the face detection by using multiple eigenspaces of various lighting conditions, fast block matching for tracking four motion parameters of the user's face region. The Edge Orientation Histogram (EOH) on Real AdaBoost to improve the performance of original AdaBoost algorithm is also applied in this study. The AdaBoost algorithm using Haar feature in OpenCV library developed by Intel to detect human face and enhance the accuracy performance with rotating image. The frame rate of viewer tracking process can achieve up to 15 Hz. Since performance of the viewer tracking autostereoscopic display is still influenced under variant environmental conditions, the accuracy, robustness and efficiency of the viewer-tracking system are evaluated in this study.
机译：自动立体显示器为用户提供了极大的立体视觉享受，而没有戴立体眼镜的不便和不便的缺点。但是，当前的多视图3D显示的带宽限制严重限制了可以同时显示的视图数量，而不会降低分辨率或增加显示成本，这是不可接受的。多视图呈现的替代方法是可以使用观察者跟踪传感器来测量观察者的位置。它是观众跟踪组件的一个非常重要的模块，用于流畅地渲染和准确地投影立体声视频。为了相对于用户的视点渲染立体声内容并将其准确地光学投影到用户的左眼和右眼，实时观看者跟踪技术是在观看自动立体显示器时允许用户自由移动的实时观看者跟踪技术。在这项研究中开发。它包括通过使用各种光照条件的多个特征空间进行面部检测，快速块匹配以跟踪用户面部区域的四个运动参数。这项研究还应用了真实AdaBoost上的边缘方向直方图（EOH），以提高原始AdaBoost算法的性能。英特尔开发的OpenCV库中使用Haar功能的AdaBoost算法可检测人脸并提高旋转图像的准确性。观看者跟踪过程的帧速率可以达到15 Hz。由于观看者跟踪自动立体显示器的性能在变化的环境条件下仍然会受到影响，因此在此研究中评估了观看者跟踪系统的准确性，鲁棒性和效率。

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