A Review on Various Approaches of Feature Extraction for Image Matching

Abstract

In this paper we present a review on different approaches of feature extraction for subsequent image matching and the literature over the past in the field of feature detection methods. The feature detector and descriptors are needed for the feature extraction process. We take an overview on the various types of feature detectors. The image matching is difficult because the images are captured from different viewpoint, scale, lighting condition, etc. The MSER as a feature detector and SIFT as a feature descriptor obtain good score in most of cases.