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A depth recovery algorithm using defocus information

机译:使用散焦信息的深度恢复算法

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Pentland (1987) proposed an algorithm for sensing scene depth by measuring the amount of defocus of an image. The algorithm is interesting in the sense that no correspondence problems are involved. The authors discuss the difference between shape from defocus and shape from focus and then present a two-phase algorithm where the defocus process is modeled as a two-dimensional Gaussian point-spread function. During the first phase (calibration phase), a camera system parameter is determined off-line. In the next phase (depth-recovery phase), this parameter is used to recover on-line the scene depth by taking two images of the same scene, but with a different amount of defocus. Some implementation issues are addressed, and test results on real images are provided.
机译:Pentland(1987)提出了一种通过测量图像的散焦量来感知场景深度的算法。在不涉及对应问题的意义上,该算法是有趣的。作者讨论了散焦形状和散焦形状之间的区别,然后提出了一种两阶段算法,其中将散焦过程建模为二维高斯点扩展函数。在第一阶段(校准阶段),将离线确定相机系统参数。在下一个阶段(深度恢复阶段)中,此参数用于通过拍摄同一场景的两幅图像,但散焦量不同来在线恢复场景深度。解决了一些实现问题,并提供了有关真实图像的测试结果。

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