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2. Locally Non-rigid Registration for Mobile HDR Photography
 
 # Locally Non-rigid Registration for Mobile HDR Photography

  ![](/sites/default/files/styles/wide/public/pubs/2015-06_Locally-Non-rigid-Registration/default.jpg?itok=CDJwxrSr)

 Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image.

Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast—under *700ms* on a commercial tablet for a pair of 5MP images-and prevents the artifacts that arise from insufficient registration quality.



 ## Authors



Orazio Gallo (NVIDIA)

Alejandro Troccoli (NVIDIA)

Jun Hu (Apple)

Kari Pulli (Light)

[Jan Kautz](/person/jan-kautz)

 

 

 ## Publication Date



Monday, June 1, 2015

 

 ## Published in



[IEEE Computer Vision and Pattern Recognition (CVPR 2015) Embedded Vision Worksh…](http://www.pamitc.org/cvpr15/)

 

 ## Research Area



[Computational Photography and Imaging](/research-area/computational-photography-imaging)

 

 

 ## Uploaded Files



[GalloEtAl\_LocallyNRR\_2015.pdf](https://research.nvidia.com/sites/default/files/pubs/2015-06_Locally-Non-rigid-Registration/GalloEtAl_LocallyNRR_2015.pdf "Open file in new window")5.46 MB

[Gallo\_FastNRR.zip](https://research.nvidia.com/sites/default/files/pubs/2015-06_Locally-Non-rigid-Registration/Gallo_FastNRR.zip "Open archive in new window")28.11 MB

[tmp.txt](https://research.nvidia.com/sites/default/files/pubs/2015-06_Locally-Non-rigid-Registration/tmp.txt "Open document in new window")162 bytes

 

 

 ## Copyright



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