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ICIP
2006
IEEE

Resolution Improvement from Stereo Images with 3D Pose Differences

14 years 11 months ago
Resolution Improvement from Stereo Images with 3D Pose Differences
Resolution improvement from several images is typically restricted to simple planar rotations and translations. In this paper, a super-resolution algorithm that allows 3D ego-motion of the camera system is proposed. By exploiting the trifocal tensor constraint of a stereo camera system, the intermediate step of scene structure recovery is effectively skipped. 3D motion is estimated recursively through an extended Kalman filter and used by a novel image warping procedure to perform resolution enhancement. Real image experiment with comparison to well known Irani-Peleg approach confirms the validity of the algorithm.
Siu-Hang Or, Ying Kin Yu, Kin-hong Wong, Michael M
Added 22 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2006
Where ICIP
Authors Siu-Hang Or, Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chang
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