基于一幅散焦图像的深度估计新算法
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TN911.73

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A New Approach to Recovering Depth From a Defocused Image
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    摘要:

    基于Pentland提出的散焦法(DFD),考虑到物体表面点的连续性和物体边缘在散焦图像中的模糊性,提出了一种利用局部直线求取物体深度的算法。该算法只需1幅图像就能进行深度估计,因此能有效避免图像间的孤配问题与遮挡问题,计算量小、效率高、计算没有用到微分信息,对噪声不敏感,采用深度修正法进一步提高了其测量精度。实验结果表明,该方法稳定可靠,深度测量误差被控制在2%的范围内。

    Abstract:

    Based on the method of depth from defocus(DFD) proposed by Pentland,we propose an approach to estimating the depth of the object by local lines considering the continuity of surface points of the object and faintness of image edges in the defocus images.We only need one picture to estimate the depth by adopting the method,so it can overcome the problems of matching and covering between pictures,and it has little computation and high efficiency.At the same time,the arithmetic is not sensitive to the noise because differential operation is not needed in this algorithm.Furthermore,depth correction method is used to improve measure precision.Experimental results prove that this arithmetic has high stability and credibility,with the measure error of depth under 2%.

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张淑芳,李华.基于一幅散焦图像的深度估计新算法[J].光电子激光,2006,(3):364~367

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  • 收稿日期:2005-06-25
  • 最后修改日期:2005-10-28
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