Panoramic Image Stitching using SURF

Title
Panoramic Image Stitching using SURF
Other Titles
Panoramic Image Stitching using SURF
Author(s)
김욱현유맹[유맹]임종석
Keywords
SURF; RANSAC; image stitching; image matching; SURF; RANSAC; image stitching; image matching
Issue Date
201101
Publisher
한국신호처리시스템학회
Citation
신호처리.시스템학회 논문지, v.12, no.1, pp.26 - 32
Abstract
This paper proposes a new method to process panoramic image stitching using SURF(Speeded Up Robust Features). Panoramic image stitching is considered a problem of the correspondence matching. In computer vision, it is difficult to find corresponding points in variable environment where a scale, rotation, view point and illumination are changed. However, SURF algorithm have been widely used to solve the problem of the correspondence matching because it is faster than SIFT(Scale Invariant Feature Transform). In this work, we also describe an efficient approach to decreasing computation time through the homography estimation using RANSAC(random sample consensus). RANSAC is a robust estimation procedure that uses a minimal set of randomly sampled correspondences to estimate image transformation parameters. Experimental results show that our method is robust to rotation, zoom, Gaussian noise and illumination change of the input images and computation time is greatly reduced.
URI
http://hdl.handle.net/YU.REPOSITORY/25717
ISSN
1229-9480
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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