Relative depth estimation with an uncalibrated camera for image refocus

Qiuyan Tao, Jianing Li, Lianghao Wang, Ming Zhang
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Abstract

Built-in post refocus applications begin to appear in cameras of new phone models. Most of them rely on dual or even customized cameras. In this paper, we proposed a solution of post refocus using a single uncalibrated cellphone camera. The input is a short video clip with minor camera movement, which is commonly caused by nature shaking of hand. After using feature matching to find a reference plane, the parallax of multiple frames will be revised based on the transformation of reference plane and a factorization method is used to recover the relative depth map. Finally, plausible refocus images can be obtained according to the relative depth map. Our solution has no reliance on any specialized lens and can generate adjustable refocus effect, in both focal depth and the degree of out-of-focus.
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相对深度估计与一个未校准的相机图像重新聚焦
内置的后调焦应用程序开始出现在新手机型号的相机中。它们大多依靠双摄像头,甚至是定制摄像头。在本文中,我们提出了一种使用单个未校准的手机相机进行后调焦的解决方案。输入是一个简短的视频片段,带有轻微的相机运动,这通常是由手的自然晃动引起的。利用特征匹配找到参考平面后,基于参考平面的变换对多帧视差进行修正,并采用因子分解方法恢复相对深度图。最后根据相对深度图得到可信的重聚焦图像。我们的解决方案不依赖于任何专门的镜头,可以在焦深和失焦程度上产生可调的重新聚焦效果。
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