Accurate 3-D motion tracking with an application to super-resolution
Refereed conference paper presented and published in conference proceedings

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AbstractMany of the existing image processing applications, in particular the construction of super-resolution videos, require an accurate high-speed motion tracking algorithm. This paper proposes an efficient recursive approach that recovers 3-D motion from a stereo image sequence with high precision based on the trifocal tensor. In the computation process, neither the 3-D structure of the scene nor its reconstruction is necessary. The validity of the proposed algorithm is demonstrated by applying it to upgrade the resolution of real stereo images. Empirical comparisons show that our novel approach outperformed traditional work in terms of both the accuracy of motion estimation and the quality of super-resolved images.
All Author(s) ListYu YK, Or SH, Wong KH, Chang MMY
Name of Conference18th International Conference on Pattern Recognition (ICPR 2006)
Start Date of Conference20/08/2006
End Date of Conference24/08/2006
Place of ConferenceHong Kong
Country/Region of ConferenceChina
Detailed descriptionorganized by IAPR,
Pages730 - 733
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence

Last updated on 2021-14-06 at 01:06