Paper Title
Analogy of Point Feature Extraction Techniques

Image processing is a significant section of robotic and machine learning. The field of image processing is significant in terms of usage in the advanced world ranging from security, facial recognition to remote autonomous terrain mapping. The salient problem in image processing is how to detect, identify and recognize the feature points in an image. However, there are numerous feature point extraction techniques. In this paper, we are comparing the different available point feature extraction techniques currently in existence based on the scale changes, noise, rotation etc. The evaluation is based on the number of feature points from the reference image as well as matched points in the wild frame and elapsed time. The data and information from the study open up new research in the field of image processing based on point feature extraction. Keywords - Descriptors, Feature Extraction, Interest Point.