文章基本信息

标题：A Study on Features Extraction Techniques for Image Mosaicing
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作者：Dilipsinh Bheda ; Mahasweta Joshi ; Vikram Agrawal 等
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：2014
卷号：2
期号：3
出版社：S&S Publications
摘要：This paper presents the review of feature detection techniques for i mage mosaicing which is an important research subject in the field of computer vision . Image mosaicing is the process of combining several overlapped images to create single cont inuous image . Feature extraction methods extract the distinct features from the images like edges, corners, etc. which can be used to match the similarity for estimation of relative transformation between the images. Features based methods have shown much advantage over direct mosaicing methods in both time and space complexity. Thus large number of research has been done around the feature extraction and feature matching algorithms to improve processing of algorithm execution in terms of speed and space. H ere we discussed some techniques which are commonly use d for the image mosaicing
关键词：Image registration; Feature extraction; Image b ; lending; Image mosaicing; FAST; SIFT; SURF; PCA ; SIFT.