1. Adaptive Registration of Very Large Images Brian Jackson & Ardy Goshtasby Wright State University

2. Characteristics of Very Large Images They often have local geometric differences. Finding correspondences is nontrivial. Management of time and space is a challenge. 26/23/2014CVPR2014-IRW: Jackson & Goshtasby

3. Mapping Function Break down the overall transformation into a global and a number of local transformations. Represent the global transformation by an affine. Represent each local transformation by an affine. Blend the global and local transformations into a smooth mapping function. 36/23/2014CVPR2014-IRW: Jackson & Goshtasby

4. Coarse-to-Fine Matching Reduce resolution sufficiently so local geometric differences become negligible. Find global transformation. Increase resolution and globally align. Subdivide image domain, find local correspondences, and find local transformations. 46/23/2014CVPR2014-IRW: Jackson & Goshtasby

5. Affine Parameters under Scaling 56/23/2014CVPR2014-IRW: Jackson & Goshtasby

6. Combining Global and Local Affines 6 Mapping function at a level is obtained from a blending of local affine transformations. A local affine is obtained from an estimate of the affine at previous level and a refinement to the estimation. 6/23/2014CVPR2014-IRW: Jackson & Goshtasby

7. Blending Function Rational Gaussian 76/23/2014CVPR2014-IRW: Jackson & Goshtasby

8. Preliminary Results 86/23/2014CVPR2014-IRW: Jackson & Goshtasby

9. 96/23/2014CVPR2014-IRW: Jackson & Goshtasby

10. 106/23/2014CVPR2014-IRW: Jackson & Goshtasby

11. Computational Requirements Computationally, it takes a couple of seconds on a Windows PC with Intel i7 processor to register one Mega- pixel images. It takes 30 seconds to register ten Mega-pixel images. Computation time increases linearly with image size. The time to find correspondence between points in images is about the same as the time to calculate the mapping function and register images. 116/23/2014CVPR2014-IRW: Jackson & Goshtasby

12. Limitations It cannot register multimodality images. Nonlinear geometric difference between corresponding blocks is ignored. Image discontinuities due to occlusion are ignored. 126/23/2014CVPR2014-IRW: Jackson & Goshtasby