Image registration based on gradient and least square optimization technique is one of the most edge-cutting registration algorithms. Such method, especially useful for subpixel motion, searches for the best motion in an iterative way. This paper solves the same motion registration problem following this direction. And the well-known Gauss-Newton method (GNM) is employed here as the optimization tool. To achieve a speed-up and reduction of the arithmetic calculation, a simplified high order approach(SHoA) used to calculate several parameters for GNM is introduced. Detailed complexity analysis and performance comparison are presented showing that such an approach is a better trade-off between registration error and the number of math operations. Copyright © 2009 IEEE.
|Title of host publication||2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009|
|Place of Publication||Piscataway|
|Publication status||Published - 2009|
CitationWu, Y., Au, O. C., Luo, E., Yeung, C.-H., & Tu, S.-F. (2009). Image registration method based on local high order approach. In 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 (pp. 746-749). Piscataway: IEEE.
- Image registration
- Optimization methods
- Least squares methods
- Iterative methods
- Newton method
- Recursive estimation
- Video compression
- Motion estimation
- Gradient methods