SIFT Image Feature Extraction for an Efficient Image Registration
Sanjeevakumar Harihar1, Manjunath R2

1Harihar ECE Dept, Jain University, Bengaluru, Karnataka, India.
2Dr. Manjunath R, Principle Consultant , Wipro Technologies Ltd India Bengaluru, Karnataka, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4090-4094 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8099038620/2020©BEIESP | DOI: 10.35940/ijrte.F8099.038620

Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: This paper presents an image registration algorithm based on SIFT (Scale Invariant Feature Transform).The obtained descriptors and key points by the SIFT confirms that, the algorithm is very robust to scaling, noise, translation and rotation. At the beginning, the key points are extracted from the image. Later to Match the obtained points, dot products between the unit vectors are calculated. Finally, transformation matrix is obtained by applying RANSAC algorithm. Experimental results shows that the algorithm extracts the better key points, which can be used for used for image registration applications.
Keywords: Sift Feature Matching; Image Mosaic; Key Point Matching;
Scope of the Article: Energy Efficient Building Technology.