Survey of scale-invariant Feature transform algorithm

Abstract EN

The effectiveness of detecting and matching of image features using multiple views of a specified scene using dynamic scene analysis is considered to be a critical first step for many applications in computer vision image processing.

The Scale invariant feature transform (SIFT) can be applied very successfully of typical images captured by a digital camera.

In this paper, firstly the SIFT and its variants are systematically analyzed.

Then, the performances are evaluated in many situations: change in rotation, change in blurs, change in scale and change in illumination.

The outcome results show that each algorithm has its advantages when compared with other algorithms.