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Resolution improvement from stereo images with 3d pose differences.
| Content Provider | CiteSeerX |
|---|---|
| Author | Wong, Kin Hong Chang, Yuen Or, Siu Hang Ming, Michael Yu, Ying Kin |
| Abstract | 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. Index Terms--- image enhancement, image registration, motion analysis, stereo vision, kalman filtering. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Stereo Vision Camera System Several Image Irani-peleg Approach Index Term Image Enhancement Super-resolution Algorithm Stereo Camera System Real Image Experiment Stereo Image Extended Kalman Filter Trifocal Tensor Constraint Kalman Filtering Scene Structure Recovery Novel Image Motion Analysis Image Registration Resolution Improvement Pose Difference Intermediate Step Resolution Enhancement Planar Rotation |
| Content Type | Text |
