Image registration is one of the most important tasks in image processing. The algorithms of image registration are classified into two categories: the feature-based matching and intensity-based matching. Each of them has its strength and weakness. In this paper, by combining these two techniques together, we developed a new algorithm for image registration. The algorithm utilises a parametric projective model accounting for geometrical variation and a polynomial model with a small number of polynomial coefficients explicating the smooth spatially varying illumination variation. The initial projective model parameters are first estimated by using feature-based approach. Subsequently, the coefficients of the illumination model are determined simultaneously with the projective transformation parameters through the process of intensity matching. The experimental results demonstrated the algorithm is of robustness, efficiency and accuracy.
[1]
C Tomasi,et al.
Shape and motion from image streams: a factorization method.
,
1992,
Proceedings of the National Academy of Sciences of the United States of America.
[2]
Gregory D. Hager,et al.
Efficient Region Tracking With Parametric Models of Geometry and Illumination
,
1998,
IEEE Trans. Pattern Anal. Mach. Intell..
[3]
Lisa M. Brown,et al.
A survey of image registration techniques
,
1992,
CSUR.
[4]
Rachid Deriche,et al.
Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig
,
1994,
ECCV.
[5]
Shahriar Negahdaripour,et al.
Revised Definition of Optical Flow: Integration of Radiometric and Geometric Cues for Dynamic Scene Analysis
,
1998,
IEEE Trans. Pattern Anal. Mach. Intell..