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A hybrid matching algorithm for depth estimation

机译:深度估计的混合匹配算法

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摘要

Depth estimation is one of the key technologies of free-viewpoint television (FTV) system because the accuracy of depth map affects directly the synthesized video quality at intermediate viewpoint. In order to obtain accurate depth information with low complexity, a hybrid matching (HM) algorithm for depth estimation method is proposed. It is composed of pixel matching (PM) and block matching (BM) mode. By using motion information in matching mode selection, the proposed algorithm is more complied with human visual system (HVS) which is more sensitive to moving regions than the static one. Experimental results show that the proposed algorithm can not only maintain the synthesized visual quality, but also reduce considerably the execution time in matching process.
机译:深度估计是自由视点电视(FTV)系统的关键技术之一,因为深度图的准确性直接影响中间视点的合成视频质量。为了以较低的复杂度获得准确的深度信息,提出了一种用于深度估计的混合匹配算法。它由像素匹配(PM)模式和块匹配(BM)模式组成。通过在匹配模式选择中使用运动信息,该算法更符合人类视觉系统(HVS),人类视觉系统对运动区域的敏感度要高于静态视觉系统。实验结果表明,该算法不仅可以保持合成的视觉质量,而且可以大大减少匹配过程中的执行时间。

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