Authors:
Raul Montoliu
and
Filiberto Pla
Affiliation:
Computer Vision Group. Jaume I University, Spain
Keyword(s):
Image Registration, Motion Estimation, Generalized Least-Squares Estimation, SIFT.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Image and Video Analysis
;
Image Registration
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
Abstract:
In this paper, an accurate Image Registration method is presented. It combines a feature-based method, which allows to recover large motion magnitudes between images, with a Generalized Least-Squares (GLS) motion estimation technique which is able to estimate motion parameters in an accurate manner. The feature-based method gives an initial estimation of the motion parameters, which will be refined using the GLS motion estimator. Our approach has been tested using challenging real images using both affine and projective motion models.