A survey of image registration techniques
ACM Computing Surveys (CSUR)
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
2d Object Detection and Recognition: Models, Algorithms, and Networks
2d Object Detection and Recognition: Models, Algorithms, and Networks
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
The Angular Difference Function and Its Application to Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of Joint Geometric and Radiometric Image Deformations in the Presence of Noise
SSP '07 Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing
A new method for affine registration of images and point sets
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Two-dimensional matched filtering for motion estimation
IEEE Transactions on Image Processing
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
Pseudopolar-based estimation of large translations, rotations, and scalings in images
IEEE Transactions on Image Processing
Accurate Calculation of Image Moments
IEEE Transactions on Image Processing
Image Morphing in Frequency Domain
Journal of Mathematical Imaging and Vision
Estimation of linear transformation by analyzing the periodicity of interpolation
Pattern Recognition Letters
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We consider the problem of estimating the geometric deformation of an object, with respect to some reference observation on it. Existing solutions, set in the standard coordinate system imposed by the measurement system, lead to high-dimensional, non-convex optimization problems. We propose a novel framework that employs a set of non-linear functionals to replace this originally high dimensional problem by an equivalent problem that is linear in the unknown transformation parameters. The proposed solution includes the case where the deformation relating the observed signature of the object and the reference template is composed both of the geometric deformation due to the affine transformation of the coordinate system and a constant amplitude gain. The proposed solution is unique and exact and is applicable to any affine transformation regardless of its magnitude.