A SIFT Tool

The Aim of this project is to produce a fully comprehensive software library which implements previous work by David G. Lowe on the subject of the Scale Invariant Feature Transform (SIFT). As background knowledge, this dissertation presents a brief introduction of image matching and a thorough review of image feature detectors and descriptors. Furthermore, documents produced in every stage of software development life circle are also included, such as requirement specification, design specification, testing, user guide and so on. Eventually, the SIFT library is critically evaluated and demonstrated by using images under different transformations and an object recognition system. The results of evaluation prove the distinctive characteristics of SIFT and the achievements of our implementation. Acknowledgements I would like to express my deep gratitude to Dr Walterio Mayol-Cuevas and Dr Majid Mirmehdi for their continuing support, helpful advice and constant encouragement through all stages of the project. I also wish to appreciate my parents. Without their finical support and encouragement, I could not have finished this course and the project. A dissertation submitted to the University of Bristol in accordance with the requirements of the degree of Master of Science in the Faculty of Engineering. It has not been submitted for any other degree or diploma of any examining body. Except where specifically acknowledged, it is all the work of the Author.