Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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B. Busam, M. Hog, S. McDonagh?, G. Slabaugh
SteReFo: Efficient Image Refocusing with Stereo Vision
International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea, November 2019 [oral]. (bib)

Whether to attract viewer attention to a particular object, give the impression of depth or simply reproduce human-like scene perception, shallow depth of field images are used extensively by professional and amateur photographers alike. To this end, high quality optical systems are used in DSLR cameras to focus on a specific depth plane while producing visually pleasing bokeh.\\ We propose a physically motivated pipeline to mimic this effect from all-in-focus stereo images, typically retrieved by mobile cameras. It is capable to change the focal plane \emph{a posteriori} at 76~FPS on KITTI images to enable real-time applications. As our portmanteau suggests, \textit{SteReFo} interrelates stereo-based depth estimation and refocusing efficiently. In contrast to other approaches, our pipeline is simultaneously fully differentiable, physically motivated, and agnostic to scene content. It also enables computational video focus tracking for moving objects in addition to refocusing of static images. We evaluate our approach on the publicly available datasets KITTI, SceneFlow?, Cityscapes and quantify the quality of architectural changes.
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