Summarization of the scale invariant feature transform
With the development of software and hardware technique,computer vision has become a hot research fields in image processing.Scale invariant feature transform (SIFT) is one of the most successful vision algorithm nowadays and it is widely studied by the computer vision community because of its unique features.SIFT is scale invariant,rotation invariant and illumination invariant.However,it also has some problems such as it is only part affine has a rather the high computation complexity.Many extended or modified algorithms of the SIFT are developed unceasingly.In this paper,we summarize the history,the evolved processing,and the application of the SIFT and compares those algorithm effects.At last,the paper discusses the feature direction and provides reference for computer vision researchers.
scale invariantscale invariant feature transform (SIFT)computer visionimage match
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