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首页> 外文会议>Stereoscopic Displays and Virtual Reality Systems XIV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6490; Electronic Imaging Science and Technology >Predictive Coding of Depth Images Across Multiple Views
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Predictive Coding of Depth Images Across Multiple Views

机译：跨多个视图的深度图像的预测编码

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摘要

A 3D video stream is typically obtained from a set of synchronized cameras, which are simultaneously capturing the same scene (multiview video). This technology enables applications such as free-viewpoint video which allows the viewer to select his preferred viewpoint, or 3D TV where the depth of the scene can be perceived using a special display. Because the user-selected view does not always correspond to a camera position, it may be necessary to synthesize a virtual camera view. To synthesize such a virtual view, we have adopted a depth-image-based rendering technique that employs one depth map for each camera. Consequently, a remote rendering of the 3D video requires a compression technique for texture and depth data. This paper presents a predictive-coding algorithm for the compression of depth images across multiple views. The presented algorithm provides (a) an improved coding efficiency for depth images over block-based motion-compensation encoders (H.264), and (b), a random access to different views for fast rendering. The proposed depth-prediction technique works by synthesizing/computing the depth of 3D points based on the reference depth image. The attractiveness of the depth-prediction algorithm is that the prediction of depth data avoids an independent transmission of depth for each view, while simplifying the view interpolation by synthesizing depth images for arbitrary view points. We present experimental results for several multiview depth sequences, that result in a quality improvement of up to 1.8 Db as compared to H.264 compression.
机译：3D视频流通常是从一组同步摄像机获取的，这些摄像机同时捕获同一场景（多视图视频）。这项技术支持诸如自由视点视频（允许观看者选择他喜欢的视点）或3D TV（可使用特殊显示器感知景深）之类的应用。由于用户选择的视图并不总是与相机位置相对应，因此可能有必要合成虚拟相机视图。为了合成这样的虚拟视图，我们采用了基于深度图像的渲染技术，该技术为每个摄像机采用一个深度图。因此，3D视频的远程渲染需要用于纹理和深度数据的压缩技术。本文提出了一种预测编码算法，用于在多个视图之间压缩深度图像。提出的算法为基于块的运动补偿编码器（H.264）的深度图像提供（a）改进的编码效率，以及（b）为快速渲染提供对不同视图的随机访问。所提出的深度预测技术通过基于参考深度图像合成/计算3D点的深度来工作。深度预测算法的吸引力在于，深度数据的预测避免了每个视图的深度的独立传输，同时通过为任意视点合成深度图像来简化视图插值。我们提供了几个多视图深度序列的实验结果，与H.264压缩相比，可提高高达1.8 Db的质量。

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