DocumentCode :
3673991
Title :
Locally non-rigid registration for mobile HDR photography
Author :
Orazio Gallo;Alejandro Troccoli;Jun Hu;Kari Pulli;Jan Kautz
Author_Institution :
NVIDIA, Santa Clara, California, United States
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
48
Lastpage :
55
Abstract :
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.
Keywords :
"Cameras","Robustness","Image edge detection","Accuracy","Mobile handsets","Image color analysis"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on
Electronic_ISBN :
2160-7516
Type :
conf
DOI :
10.1109/CVPRW.2015.7301366
Filename :
7301366
Link To Document :
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