Sang Burm Rhee

KIPS Transactions on Software and Data Engineering, Vol. 2, No. 1, pp. 65-70, Jan. 2013
10.3745/KTSDE.2013.2.1.65,   PDF Download:

Abstract

Recently, the field of computer vision has actively researched through digital image which can be easily generated as the development and expansion of digital camera technology. Especially, research that extracts and utilizes the feature in image has been actively carried out. The image stitching is a method the creates the high resolution image using features extract and match. Image stitching can be widely method in military and medical purposes as well as in variety fields of real life. In this paper, we have proposed efficient image stitching method using fast feature descriptor extraction and matching based on SURF algorithm. It can be accurately, and quickly found matching point by reduction of dimension of feature descriptor. The feature descriptor is generated by classifying of unnecessary minutiae in extracted features. Ton reduce the computational time and efficient match feature, we have reduced dimension of the descriptor and expanded orientation window. In our results, the processing time of feature matching and image stitching are faster than previous algorithms, and also that method can make natural-looking stitched image.

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