AI 中文总结
研究无视差视频透视显示器，通过两个摄像头及显示器组成系统，利用特征检测算法估计相对位置，假设平面场景模型补偿视差误差，应用于驾驶员辅助系统，评估显示近似方法对感知质量影响可忽略。
AI 中文摘要
在透视系统中，观察者观看被显示器部分遮挡的（背景）场景。通常靠近观察者放置的该显示器会显示背景场景的一个区域，营造出显示器透明的感觉。为实现透明效果，补偿图像采集系统引起的视差误差和其他失真非常重要。本文对一种具有视差校正的视频透视方法进行了详细研究。在由两个摄像头（一个对准用户，另一个对准背景场景）和一个显示器组成的系统中，使用特征检测算法估计用户、显示器和场景之间的相对位置，并假设平面场景模型补偿视差误差。还提出了该方法在驾驶员辅助系统（DAS）中的应用。算法的理论评估表明，尽管提出了如平面场景模型和固定工作距离等近似方法来简化方法并降低计算成本，但在某些实际情况下，其影响可被忽略，而不会对解决方案的感知质量产生明显影响。
英文摘要
In see-through systems an observer watches a (background) scene partially occluded by a display. In this display, usually positioned close to the observer, a region of the background scene is shown, yielding the sensation that the display is transparent. To achieve the transparency effect, it is very important to compensate the parallax error and other distortions caused by the image acquisition system. In this paper a detailed study of a video see-through methodology with parallax correction is performed. In a system composed by two cameras -- one directed to the user and another to the background scene -- and a display, the relative position between the user, the display and the scene is estimated using a feature detection algorithm and the parallax error is compensated assuming a planar scene model. The application of the proposed methodology on Driver Assistance Systems (DAS) is proposed. A theoretical assessment of the algorithm shows that although approximations are proposed to simplify the methodology and reduce the computational cost, such as the planar scene model and fixed working distance, on some practical situations their effects can be neglected without noticeable impact on the perceptual quality of the solution.
Journal refIEEE Transactions on Visualization and Computer Graphics (Volume: 24, Issue: 6, 01 June 2018)
