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Interactive scene flow editing for improved image-based rendering and virtual spacetime navigation

: Ruhl, K.; Eisemann, M.; Hilsmann, A.; Eisert, P.; Magnor, M.


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-:
ACM Multimedia Conference & Co-located Workshops 2015. Proceedings. CD-ROM : October 26-30, 2015, Brisbane, Australia; MM'15; Co-located workshops: ASM'15, AVEC'15, HCMC'15, CrowdMM'15, ImmersiveME'15, MMCommons'15, & SLAM'15
New York: ACM, 2015
ISBN: 978-1-4503-3459-4
ISBN: 978-1-4503-3745-8
Multimedia Conference (MM) <23, 2015, Brisbane>
Fraunhofer HHI ()

High-quality stereo and optical flow maps are essential for a multitude of tasks in visual media production, e.g. virtual camera navigation, disparity adaptation or scene editing. Rather than estimating stereo and optical flow separately, scene flow is a valid alternative since it combines both spatial and temporal information and recently surpassed the former two in terms of accuracy. However, since automated scene flow estimation is non-Accurate in a number of situations, resulting rendering artifacts have to be corrected manually in each output frame, an elaborate and time-consuming task. We propose a novel workflow to edit the scene flow itself, catching the problem at its source and yielding a more flexible instrument for further processing. By integrating user edits in early stages of the optimization, we allow the use of approximate scribbles instead of accurate editing, thereby reducing interaction times. Our results show that editing the scene flow improves the quality of visual results considerably while requiring vastly less editing effort.