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3d video generation and service based on a TOF depth sensor in MPEG-4 multimedia framework

机译:MPEG-4多媒体框架中基于TOF深度传感器的3d视频生成和服务

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摘要

In this paper, we present a new method to generate and serve 3D video represented by video-plus-depth using a time-of-flight (TOF) depth sensor. In practice, depth images captured by the depth sensor have critical problems, such as optical noise, unmatched boundaries with their corresponding color images, and depth flickering artifacts in the temporal domain. In this work, we enhance the noisy depth images by performing a series of processing steps including joint bilateral filtering with inner-edge selection, outer-boundary refinement by a robust image matting method, and temporal consistency based on motion estimation. Thereafter, the generated high-quality video-plus-depth is combined with computer graphics models in the MPEG-4 multimedia framework. Finally, the immersive video content is streamed to consumers to enjoy 3D view. Experimental results show that our method can minimize the inherent problems of depth images significantly and serve 3D video successfully in the MPEG-4 multimedia framework.
机译:在本文中,我们提出了一种使用飞行时间(TOF)深度传感器生成并提供以视频加深度表示的3D视频的新方法。实际上,由深度传感器捕获的深度图像具有严重的问题,例如光学噪声,与它们相应的彩色图像不匹配的边界以及在时域中的深度闪烁伪像。在这项工作中,我们通过执行一系列处理步骤来增强噪点深度图像,这些处理步骤包括使用内边缘选择进行联合双边滤波,通过鲁棒的图像抠像方法进行外边界细化以及基于运动估计的时间一致性。此后,在MPEG-4多媒体框架中将生成的高质量视频加深度与计算机图形模型结合在一起。最终,沉浸式视频内容将流式传输给消费者,以享受3D视图。实验结果表明,该方法可以最大程度地减少深度图像的内在问题,并可以在MPEG-4多媒体框架中成功地处理3D视频。

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