Abstract
This paper presents an automatic robust system which relies only on the information contained within the original images for the construction of massive composite mosaic images from close-range and high-resolution originals, such as those obtained when imaging architectural and heritage structures. We first apply the Harris Corner Detector to extract a selection of corner and, then, employ both the intensity correlation and the spatial correlation between the corresponding corners for matching them. We estimate the lens distortion parameter and the eight-parameter planar projective transformation matrix via the Levenberg-Marquardt algorithm. After the pairwise registration stage, we used a global optimization strategy, solving a linear system of equations to produce a globally consistent alignment of the entire set of original images. Lastly, image fusion using a weighted blending function together with intensity compensation produces an effective seamless mosaic image. Comparisons with current commercial image-mosaic software are favourable.
| Original language | English |
|---|---|
| Article number | 62790R |
| Number of pages | 9 |
| Journal | Proceedings of SPIE |
| Volume | 6279 |
| DOIs | |
| Publication status | Published - 11 Jan 2007 |
| Event | 27th International Congress on High-Speed Photography and Photonics, 27ICHSPP - Xi’an, China Duration: 17 Sept 2006 → 22 Sept 2006 |
Keywords
- image mosaics
- corner matching
- global optimization
- image fusion