Comparative Study of Different Image Feature Extraction Algorithm and Representation Techniques
Abstract
Feature extraction is one of the most important step for image processing.The main objective of a feature extraction technique is to accurately retrieve features from the image.This paper compares three robust feature detection methods, they are, Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF) andOriented FAST and Rotated BRIEF (ORB).This paper gives an overall idea of general methods of Feature extraction and gives significance of ORB over SIFT and SURF algorithm. Use of ORB provides rotation invariance of both train image and query image.
References
Images",International Journal of Image Processing(IJIP),Volume(6):Issue(6):2012. 11. Mikolajczyk, K., Schmid, “ An affine invariant interest point detector.ECCV.(2002) 128. 12. S.Winder and M. Brown, “Learning Local Image Descriptors,” in Proc.CVPR’07, 2007
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