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Video stabilization for stereoscopic 3D on 3D mobile devices

机译:在3D移动设备上实现立体3D的视频稳定

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Advanced 3D mobile devices attract a lot of attentions for 3D visualization nowadays. Stereoscopic images and video taken from the 3D mobile devices are uncomfortable for 3D viewing experiences due to the limited hardware for stereoscopic 3D stabilization. The existing stereoscopic 3D stabilization methods are computationally inefficient for the 3D mobile devices. In this paper, we point out that the above critical issue deteriorates the 3D viewing experiences on the 3D mobile devices. To improve visual comfort, we propose an efficient and effective algorithm to stabilize the stereoscopic images and video for the 3D mobile devices. To rectify the video jitter, we use the gyroscope and accelerometer embedded on the mobile devices to obtain the geometry information of the cameras. Different from video-content-based motion estimation, our algorithm based on the gyroscope and acceleration data can achieve higher accuracy to effectively stabilize the video. Therefore, our approach is robust in video stabilization even under poor lighting and substantial foreground motion. Our algorithm outperforms previous approaches in not only smaller running time but also the better comfort of the stereoscopic 3D visualization for the 3D mobile devices.
机译:如今,先进的3D移动设备吸引了众多3D可视化的关注。由于用于立体3D稳定的硬件有限,从3D移动设备拍摄的立体图像和视频对于3D观看体验不舒服。现有的立体3D稳定方法对于3D移动设备在计算上效率低下。在本文中,我们指出上述关键问题恶化了3D移动设备上的3D观看体验。为了提高视觉舒适度,我们提出了一种有效且有效的算法来稳定3D移动设备的立体图像和视频。为了纠正视频抖动,我们使用嵌入在移动设备上的陀螺仪和加速度计来获取摄像机的几何信息。与基于视频内容的运动估计不同,我们基于陀螺仪和加速度数据的算法可以实现更高的精度,从而有效地稳定视频。因此,即使在光线不足和大量前景运动的情况下,我们的方法在视频稳定方面也很可靠。我们的算法不仅在更短的运行时间上而且在3D移动设备的立体3D可视化效果更好的方面都优于以前的方法。

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