Research Progress of the Scale Invariant Feature Transform (SIFT) Descriptors

The SIFT (Scale Invariant Feature Transform) is a computer vision algorithm that is used to detect and describe the local image features. The SIFT features are robust to changes in illumination, noise, and minor changes in viewpoint. The SIFT features have been used object recognition, image retrieval and matching, and so on.. The research of SIFT descriptors and improved SIFT descriptors is important. In this paper, we conducted in-depth research on research results of SIFT in recent years, summed up the thinking and properties of SIFT algorithm. Focused on analyzing SIFT algorithm's development and improvement strategy, and give SIFT’s future development and improvement trends.