Computer Graphics
TU Braunschweig

Alternate Exposure Imaging


Traditional optic flow algorithms rely on consecutive short-exposure images. In contrast, long-exposed images contain integrated motion information directly in form of motion blur. In this project, we use the additional information provided by a long exposure image to improve robustness and accuracy of motion field estimation. Furthermore, the long exposure image can be used to determine the moment of occlusion for the pixels in any of the short exposure images that are occluded or disoccluded.

This work has been funded by the German Science Foundation, DFG MA2555/4-1

Code and Resources

The code and the test sequences are for research purposes only. No commercial usage is allowed in any form. If you use this code for your publications, make sure to cite the corresponding papers. Start downloading the test sequences by clicking on the images.


Anita Sellent, Martin Eisemann, Bastian Goldlücke, Daniel Cremers, Marcus Magnor:
Motion Field Estimation from Alternate Exposure Images
in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 33, no. 8, pp. 1577-1589, August 2011.

Anita Sellent:
Dense Correspondence Field Estimation from Multiple Images
PhD thesis, TU Braunschweig, June 2011.
Monsenstein und Vannerdat, ISBN 978-3-86991-339-1

Anita Sellent, Martin Eisemann, Bastian Goldlücke, Thomas Pock, Daniel Cremers, Marcus Magnor:
Variational Optical Flow from Alternate Exposure Images
in Proc. Vision, Modeling and Visualization (VMV), pp. 135-143, November 2009.

Anita Sellent, Martin Eisemann, Marcus Magnor:
Motion Field and Occlusion Time Estimation via Alternate Exposure Flow
in Proc. IEEE International Conference on Computational Photography (ICCP), no. 1, pp. 1-8, April 2009.

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