Abstract— This paper presents the methods of extracting distinctive invariant features from the set of images. These methods are useful for image stitching of multiple images. In this work, we formulate that SIFT is an efficient image stitching algorithm amongst the SURF, SUZAN and HARIS. SIFT is used to extracts image features which are invariant to image scale and rotation and provides best matching across the change in 3D viewpoint, addition of noise, and change in illumination (Russol Abdelfatah and Haitham Omer, 2013). The result of simulation demonstrates the efficiency of our method (Manjusha Deshmukh and Udhav Bhosle, 2011).

Index Terms— Image matching, Invariant features

Cite: Ankita C Deshmukh, Priya R Gaikwad and Madhura P Patil, " A COMPARATIVE STUDY OF FEATURE DETECTION METHODS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 4, No. 3, pp. 1-7, April 2015.