Image registration in hough space using gradient of images
We present an accurate and fast method for rigid registration of images with large non-overlapping areas using a Hough transformation of image gradients. The Hough space representation of gradients can be used to separate estimation of the rotation parameter from the translation. It also allows us to estimate transformation parameters for 2D images over a 1D space, hence reducing the computational complexity. The cost functions in the Hough domain have larger capture ranges compared to the cost...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications|
|01_Shams_Image_registration_in_hough_2007.pdf||3.12 MB||Adobe PDF||Request a copy|
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