Depth from defocus in presence of partial self occlusion

S. Bhasin, S. Chaudhuri
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引用次数: 40

Abstract

Contrary to the normal belief we show that self occlusion is present in any real aperture image and we present a method on how we can take care of the occlusion while recovering the depth using the defocus as the cue. The space-variant blur is modeled as an MRF and the MAP estimates are obtained for both the depth map and the everywhere focused intensity image. The blur kernel is adjusted in the regions where occlusion is present, particularly at the regions of discontinuities in the scene. The performance of the proposed algorithm is tested over synthetic data and the estimates are found to be better than the earlier schemes where such subtle effects were ignored.
局部自遮挡时离焦深度
与通常的观点相反,我们展示了在任何真实孔径图像中都存在自遮挡,并且我们提出了一种方法,说明如何在使用散焦作为线索恢复深度的同时处理遮挡。将空间变模糊建模为MRF,得到深度图和处处聚焦强度图像的MAP估计。模糊核在存在遮挡的区域进行调整,特别是在场景中不连续性的区域。在合成数据上测试了所提出算法的性能,发现估计比忽略这些微妙影响的早期方案要好。
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