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Block-Based Depth Maps Interpolation for Efficient Multiview Content Generation

机译:基于块的深度图插值,可有效生成多视图内容

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For multiview video generation from 2-D video sequences, the most important stage is to efficiently synthesize the corresponding depth maps for all video frames. The depth map generation involving precise object segmentation and depth assignment requires intensive computation and human assistance which could be costly and possibly inconsistent. To achieve reliable depth map generation, an efficient depth map interpolation method from the existing pairs of keyframes and their corresponding depth maps at the both ends of video scene is presented. The proposed method contains forward/backward motion alignment, block-based updating, object-based updating, frame selection mechanism, and depth adjustment. Experimental results show that the proposed method can generate the depth maps successfully after objective and subjective evaluations. We believe that it could greatly help to achieve multiview video generation from 2-D video sequences effectively.
机译:对于从2-D视频序列生成多视图视频,最重要的阶段是为所有视频帧有效地合成相应的深度图。涉及精确对象分割和深度分配的深度图生成需要大量的计算和人工协助,这可能代价高昂且可能不一致。为了实现可靠的深度图生成,提出了一种从视频帧两端现有的关键帧对及其对应的深度图进行有效的深度图插值的方法。所提出的方法包括向前/向后运动对准,基于块的更新,基于对象的更新,帧选择机制以及深度调整。实验结果表明,该方法在经过客观和主观评估后,可以成功生成深度图。我们认为,它可以极大地帮助有效地从2-D视频序列实现多视图视频生成。

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