Robust mosaicing using Zernike moments

This paper presents an approach to the registration of individual images to one another to produce a larger composite mosaic. The approach is based on the use of the moments of Zernike orthogonal polynomials to compute the re lative scale, rotation and translation between the images. A preliminary st age involves the use of an attention-like operation to estimate potential a pproximate correspondence points between the images based on extrema of loc al edge element density. Experimental results illustrate that the technique is effective in a range of environments and over a broad range of image re gistration parameters. In particular, our method makes few assumptions rega rding the image content and yet, unlike several alternative approaches, can perform registration for images with only a limited amount of overlap.