Motion aware motion invariance

We address motion de-blurring using a computational camera that captures an image while the stabilizing optical element moves in a modified Canon IS lens. Our work builds on that of Levin et al. [11], who introduce parabolic motion as a means of achieving invariance to unknown subject velocity in an...

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Bibliographic Details
Published in2014 IEEE International Conference on Computational Photography (ICCP) pp. 1 - 9
Main Authors McCloskey, Scott, Muldoon, Kelly, Venkatesha, Sharath
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Acceleration
Cameras
Image sensors
ISO
Lenses
Noise
Sensors
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DOI10.1109/ICCPHOT.2014.6831810

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Summary:We address motion de-blurring using a computational camera that captures an image while the stabilizing optical element moves in a modified Canon IS lens. Our work builds on that of Levin et al. [11], who introduce parabolic motion as a means of achieving invariance to unknown subject velocity in an a priori known direction. While the previous work addresses a specific scenario - exact knowledge of motion orientation and a uniform, symmetric prior on its magnitude - we generalize this to address scenarios where the motion of objects in the scene or the camera itself are known to various extents. We describe a motion invariant camera based on an off-the-shelf lens, and show how its motion and position sensors can be used to inform both the image capture and de-blurring. We demonstrate that our changes to motion invariance improve the quality of captured images in the case of both object and camera motion.
DOI:10.1109/ICCPHOT.2014.6831810