max planck institut informatik
mpii logo Minerva of the Max Planck Society

Motion Parallax in Stereo 3D: Model and Applications, SIGGRAPH Asia 2016

Motion Parallax in Stereo 3D: Model and Applications

Petr Kellnhofer1     Piotr Didyk1,2     Tobias Ritschel1,2,3     Belen Masia1,4     Karol Myszkowski1     Hans-Peter Seidel1

1 MPI Informatik     2 Saarland University, MMCI     3 University College London     4 Universidad de Zaragoza

Starting from a stereoscopic video content with a static observer in a moving train (Left), our method detects regions where motion parallax acts as an additional depth cue (Center, white) and uses our model to redistribute the disparity depth budget from such regions (the countryside) to regions where it is more needed (the train interior) (Right).


Binocular disparity is the main depth cue that makes stereoscopic images appear 3D. However, in many scenarios, the range of depth that can be reproduced by this cue is greatly limited and typically fixed due to constraints imposed by displays. For example, due to the low angular resolution of current automultiscopic screens, they can only reproduce a shallow depth range. In this work, we study the motion parallax cue, which is a relatively strong depth cue, and can be freely reproduced even on a 2D screen without any limits. We exploit the fact that in many practical scenarios, motion parallax provides sufficiently strong depth information that the presence of binocular depth cues can be reduced through aggressive disparity compression. To assess the strength of the effect we conduct psychovisual experiments that measure the influence of motion parallax on depth perception and relate it to the depth resulting from binocular disparity. Based on the measurements, we propose a joint disparity-parallax computational model that predicts apparent depth resulting from both cues. We demonstrate how this model can be applied in the context of stereo and multiscopic image processing, and propose new disparity manipulation techniques, which first quantify depth obtained from motion parallax, and then adjust binocular disparity information accordingly. This allows us to manipulate the disparity signal according to the strength of motion parallax to improve the overall depth reproduction. This technique is validated in additional experiments.


Side-by-side version (may require Flash YouTube player - more info)


Paper (Full Author's Copy) (9.35 MiB) Official online version: ACM Digital Library
Supplemental PDF (251 KiB).
Video side-by-side (154 MiB) or anaglyph (79 MiB)
SIGGRAPH Asia 2016 presentation slides (165 MiB).
Raw measurement data from the model building experiment (please refer to Sec. 3) (103 KiB)


Petr Kellnhofer, Piotr Didyk, Tobias Ritschel, Belen Masia, Karol Myszkowski, Hans-Peter Seidel
Motion Parallax in Stereo 3D: Model and Applications
ACM Transactions on Graphics 35(6) (Proc. SIGGRAPH Asia 2016, The Venetian Macao, Macao)

  author = { 
	Petr Kellnhofer and
	Piotr Didyk and 
	Tobias Ritschel and
	Belen Masia and
	Karol Myszkowski and 
	Hans-Peter Seidel},
  title = {Motion Parallax in Stereo 3D: Model and Applications},
  journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2016)},
  year = {2016},
  volume = {35},
  number = {6},
  doi = {10.1145/2980179.2980230},
  url = {},
  isbn = {978-1-4503-4514-9/16/12}

© 2016 The Authors. This is the author's version of the work. It is posted here for your personal use. Not for redistribution.
The definitive version was published in ACM Transactions on Graphics 35(6) (Proc. SIGGRAPH Asia 2016).


We would like to thank Junaid Ali, Sumit Shekhar, and the anonymous subjects who took part in our perceptual studies. This work was partly supported by the Max Planck cooperation program within the framework of the German pact for research and innovation (PFI).

MPI Informatik Saarland University, MMCI University College London Universidad de Zaragoza