Fast Image Stitching Based on Improved SURF Algorithm Using Meaningful Features


The KIPS Transactions:PartB , Vol. 19, No. 2, pp. 93-98, Apr. 2012
10.3745/KIPSTB.2012.19.2.93,   PDF Download:

Abstract

Recently, we can easily create high resolution images with digital cameras for high-performance and make use them at variety fields. Especially, the image stitching method which adjusts couple of images has been researched. Image stitching can be used for military purposes such as satellites and reconnaissance aircraft, and computer vision such as medical image and the map. In this paper, we have proposed fast image stitching based on improved SURF algorithm using meaningful features in the process of images matching after extracting features from scenery image. The features are extracted in each image to find out corresponding points. At this time, the meaningful features can be searched by removing the error, such as noise, in extracted features. And these features are used for corresponding points on image matching. The total processing time of image stitching is improved due to the reduced time in searching out corresponding points. In our results, the processing time of feature matching and image stitching is faster than previous algorithms, and also that method can make natural-looking stitched image.


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Cite this article
[IEEE Style]
H. C. Ahn and S. B. Rhe, "Fast Image Stitching Based on Improved SURF Algorithm Using Meaningful Features," The KIPS Transactions:PartB , vol. 19, no. 2, pp. 93-98, 2012. DOI: 10.3745/KIPSTB.2012.19.2.93.

[ACM Style]
Hyo Chang Ahn and Sang Burm Rhe. 2012. Fast Image Stitching Based on Improved SURF Algorithm Using Meaningful Features. The KIPS Transactions:PartB , 19, 2, (2012), 93-98. DOI: 10.3745/KIPSTB.2012.19.2.93.