期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：2
出版社：S&S Publications
摘要：Accurate, robust and automatic image registration is critical task in many applications. To perform imageregistration/alignment, required steps are: Feature detection, Feature matching, derivation of transformation functionbased on corresponding features in images and reconstruction of images based on derived transformation function.Accuracy of registered image depends on accurate feature detection and matching. So these two intermediate steps arevery important in many image applications: image registration, computer vision, image mosaic etc. This paper presentstwo different methods for scale and rotation invariant interest point/feature detector and descriptor: Scale InvariantFeature Transform (SIFT) and Speed Up Robust Features (SURF). It also presents a way to extract distinctive invariantfeatures from images that can be used to perform reliable matching between different views of an object/scene
