Image Mosaicing using Sift and Corner Detection Algorithm.

Abstract

Image Mosaicing is the process of combining two or more images of the same scene into one image and generate panorama of high resolution image. Mosaicing is blending together of several arbitrarily shaped images to form one large radiometrically balanced image so that the boundaries between the original images are not seen. In this paper, we have described the basic methods used to generate panorama image. Here objective is to provide different methods and algorithms used to generate panoramic image and also to present a new image mosaicing algorithm based on SIFT and corner detection algorithms. When there are scale variations and rotations SIFT can give better performance and when there are less rotations corner detection algorithms can perform better. Hence in this paper we are trying to use both algorithms for an image, so that the mosaicing quality can be increased