基于时间增强图的深度估计方法

Dawid Mieloch, A. Dziembowski, Adam Grzelka, O. Stankiewicz, M. Domański
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引用次数: 1

摘要

本文提出了一种基于图的深度估计方法的时域增强算法,该算法是为具有任意位置摄像机的多视点系统设计的。提出的改进的主要目标是提高估计深度图的质量,同时减少估计时间。该方法分为两个阶段:一是深度估计方法所需的分割时间增强,二是能量函数最小化过程中利用前一帧的深度信息。实验表明,对于所有测试序列,估计深度图的质量都有所提高。即使只使用了一个周期的优化,除了周期数外,该方法的质量也高于未修改的方法。因此,使用所提出的增强方法,即使在估计时间减少40%的情况下,也可以获得更好质量的深度估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal enhancement of graph-based depth estimation method
This paper presents the temporal enhancement of the graph-based depth estimation method, designed for multiview systems with arbitrarily located cameras. The primary goal of the proposed enhancement is to increase the quality of estimated depth maps and simultaneously decrease the time of estimation. The method consists of two stages: the temporal enhancement of segmentation required in used depth estimation method, and the exploitation of depth information from the previous frame in the energy function minimization. Performed experiments show that for all tested sequences the quality of estimated depth maps was increased. Even if only one cycle of optimization is used in proposed method, the quality is higher than for unmodified method, apart from number of cycles. Therefore, use of proposed enhancement allows estimating depth of better quality even with 40% reduction of estimation time.
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