Local affine image matching and synthesis based on structural patterns

Authors:
Heechan Park;Graham R. Martin;Abhir Bhalerao
Affiliations:
Department of Computer Science, University of Warwick, Coventry, U.K;Department of Computer Science, University of Warwick, Coventry, U.K;Department of Computer Science, University of Warwick, Coventry, U.K
Venue:
IEEE Transactions on Image Processing
Year:
2010

Citing 14
Cited 0

Digital image processing algorithms

Digital image processing algorithms
Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image quilting for texture synthesis and transfer

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Multiresolution Motion Estimation Using an Affine Model

Multiresolution Motion Estimation Using an Affine Model
Scale & Affine Invariant Interest Point Detectors

International Journal of Computer Vision
Two-Stage Template Matching

IEEE Transactions on Computers
An affine symmetric approach to natural image compression

MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A Class of Algorithms for Fast Digital Image Registration

IEEE Transactions on Computers
Progressive mesh-based motion estimation using partial refinement

VLBV'05 Proceedings of the 9th international conference on Visual Content Processing and Representation
A two-component model of texture for analysis and synthesis

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

Quantified Score

Hi-index	0.01

Visualization

Abstract

A general purpose block-to-block affine transformation estimator is described. The estimator is based on Fourier slice analysis and Fourier spectral alignment. It shows encouraging performance in terms of both speed and accuracy compared to existing methods. The key elements of its success are attributed to the ability to: 1) locate an arbitrary number of affine invariant points in the spectrum that latch onto significant structural features; 2) match the estimated invariant points with the target spectrum by the slicewise phase-correlation; and 3) use affine invariant points to directly compute all linear parameters of the full affine transform by spectral alignment. Experimental results using a wide range of textures are presented. Potential applications include affine invariant image segmentation, registration, affine symmetric image coding, and motion analysis.