Survey of Scale-invariant Feature Transform Algorithm

Authors

  • Eklas khlaf Egbash Department of Computer Science , University of Technology , Baghdad , Iraq
  • Suha Mohammad Department of Computer Science , University of Technology , Baghdad , Iraq

Keywords:

Feature Detection, Feature Descriptor, Matching

Abstract

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

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Published

2022-01-18

Issue

Section

Computer Science

How to Cite

Survey of Scale-invariant Feature Transform Algorithm. (2022). Iraqi Journal of Science, 58(1B), 292-301. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/6162

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