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Video Depth-From-Defocus

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons127713

Kim,  Hyeongwoo
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45289

Richardt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;
Intel Visual Computing Institute;
University of Bath;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45610

Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Volltexte (frei zugänglich)

arXiv:1610.03782.pdf
(Preprint), 9MB

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Zitation

Kim, H., Richardt, C., & Theobalt, C. (2016). Video Depth-From-Defocus. Retrieved from http://arxiv.org/abs/1610.03782.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-002B-B02D-7
Zusammenfassung
Many compelling video post-processing effects, in particular aesthetic focus editing and refocusing effects, are feasible if per-frame depth information is available. Existing computational methods to capture RGB and depth either purposefully modify the optics (coded aperture, light-field imaging), or employ active RGB-D cameras. Since these methods are less practical for users with normal cameras, we present an algorithm to capture all-in-focus RGB-D video of dynamic scenes with an unmodified commodity video camera. Our algorithm turns the often unwanted defocus blur into a valuable signal. The input to our method is a video in which the focus plane is continuously moving back and forth during capture, and thus defocus blur is provoked and strongly visible. This can be achieved by manually turning the focus ring of the lens during recording. The core algorithmic ingredient is a new video-based depth-from-defocus algorithm that computes space-time-coherent depth maps, deblurred all-in-focus video, and the focus distance for each frame. We extensively evaluate our approach, and show that it enables compelling video post-processing effects, such as different types of refocusing.