Image Mosaic Using Speeded Up Robust Feature Detection

Y. Murali, M. Tech, Vijayalakshmi G. V. Mahesh · 2012

So many methods have been proposed for the purpose of finding the feature points in the image. Methods like Harris, SUSAN, FAST, Laplacian of Gaussian, Difference of Gaussians, Determinant of Hessian Scale invariant Feature Transform (SIFT) have some defects like illumination varying, scale varying, rotation varying, more time taking. In order to recover from these problems we are discussing here the new technique, which is overcoming all the above mentioned defects. The technique is Speeded Up Robust Feature (SURF) technique. The main reason behind the huge advantages of this technique is its use of INTEGRAL IMAGES. Because of this the method performs faster than the precedent SIFT in finding the feature points and also performs faster matching. Below we have discussed about the way the SURF performs and our approach for the MOSAIC IMAGE in summary

Read the paper · More papers on PaperTik