Feature-based image stitching algorithms

Abstract

The method of joining images to make a panorama is known as image stitching. It is an enthusiastic research area in image processing and computer vision but still a challenging problem for panoramic images. A good number of researches had been carried out to develop different algorithms for image stitching in the last few years. Image stitching approaches is classified mainly in two groups: direct and feature based. Direct techniques evaluate pixel intensities of the input images and feature-based methods resolve an association among the images based on the extracted features of inputted images. A detail study on the state-of-the-art of feature-based image stitching approaches is presented in this paper. We have shown the performance of some of the feature-based image stitching approaches using images from Yale Database. In addition, we briefly discussed the challenges and possible future work of image stitching.