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Technical Program
Paper Detail
| Paper: | TP-L4.4 |
| Session: | Super-Resolution |
| Time: | Tuesday, October 10, 15:20 - 15:40 |
| Presentation: |
Lecture
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| Title: |
RESOLUTION IMPROVEMENT FROM STEREO IMAGES WITH 3D POSE DIFFERENCES |
| Authors: |
Siu Hang Or; The Chinese University of Hong Kong | | | | | Ying Kin Yu; The Chinese University of Hong Kong | | | | | Kin Hong Wong; The Chinese University of Hong Kong | | | | | Michael Ming Yuen Chang; The Chinese University of Hong Kong | | |
| 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. |
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