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首页> 外文会议>Machine Vision, 2009. ICMV '09 >Depth Estimation from Defocus Images Based on Oriented Heat-Flows
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Depth Estimation from Defocus Images Based on Oriented Heat-Flows

机译：基于定向热流的散焦图像深度估计

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摘要

The amount of blur on the defocus image depends on the depth information of the scene. So depth of the scene can be estimated by calculating the blur with the knowledge of the lens parameters. A novel depth estimation mode based on oriented heat-flows is proposed in this paper. In this model, the process of image defocusing is described using oriented heat-flows diffusion. The diffusion can be seen as the coupling of two weighted heat flows along orthonormal directions. The diffusion directions are defined by the local coherence geometry of image and the diffusion strength is the function of blur amount. Experimental results show that the model is quite effective and the emergence of artificial depth information in edge can be avoided by using this model.
机译：散焦图像上的模糊量取决于场景的深度信息。因此，可以在了解镜头参数的情况下通过计算模糊来估计场景的深度。提出了一种基于定向热流的深度估计新方法。在该模型中，使用定向的热流扩散描述了图像散焦的过程。扩散可以看作是两个加权热沿正交方向的耦合。扩散方向由图像的局部相干几何定义，扩散强度是模糊量的函数。实验结果表明，该模型是有效的，并且可以避免边缘中人工深度信息的出现。

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