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All figures (14)
Fig. 5. curve for rotation (standard LMA).
Fig. 12. Image set used to create a panorama image.
Fig. 13. Mosaic produced by stitching images shown in Fig. 12.
Fig. 1. Airborne imagery. (a) Observed images. (b) Reference image. (c) Registration overlays.
Fig. 6. curve for rotation (modified LMA). (a) 0 iterations, (b) 10 iterations, (c) 20 iterations, and (d) 30 iterations.
Fig. 11. Histogram of for the LMA case.
TABLE I REGISTRATION RESULTS FOR 10 000 IMAGE PAIRS
Fig. 10. Histogram of for the LP/LMA case.
Fig. 9. Registration failed when applied to database images that do not have discriminating information in the central region, as shown above.
Fig. 2. Log-polar coordinate transformation. (a) Input image. (b) Log-polar transformation.
Fig. 7. Four-dimensional search strategy. (a) A circular template from the center of the reference image is cropped. (b) For every position in the target image, a circular region is selected and compared against the circular template in (a) to find the best (T ; T ). (c) Search for (R; S) in the log-polar domain.
Fig. 3. Effects of optical and digital zoom on the power spectrum. (a) Reference image. (b) Target image (real). (c) Target image (synthetic).
Fig. 8. (a) Observed images: 4 zoom, arbitrary rotation, and moderate perspective. (b) Registration results highlighted on reference images.
Fig. 4. Example of (a) computed on two different pyramid levels.
Journal Article
•
DOI
•
Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations
[...]
Siavash Zokai
,
George Wolberg
1
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Institutions (1)
City College of New York
1
01 Oct 2005
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IEEE Transactions on Image Processing