Summary.This paper introduces a DOG. Using DOG operator to locate and determine the key points, the edge effect of DOG operator is eliminated, and finally the key point feature description is obtained. Using MATLAB to describe the key points of the collected images in various situations and match them in pairs. Simulation result shows that the key points of this algorithm are fully extracted and matching success rate is high


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A SIFT Algorithm Based on DOG Operator


    Contributors:


    Publication date :

    2018-01-01


    Size :

    360572 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image retrieval algorithm based on SIFT, K-means and LDA

    Yulei, W. / Shusheng, B. / Minglei, S. et al. | British Library Online Contents | 2014


    Fast Approximated SIFT

    Grabner, M. / Grabner, H. / Bischof, H. | British Library Conference Proceedings | 2006


    The Research of Video Tracking Based on Improved SIFT Algorithm

    Cong, Yang / Liu, Wanyu / Zhang, Yanli et al. | British Library Conference Proceedings | 2016


    Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method

    Wei, Lisheng / Zhou, Shengwen | Springer Verlag | 2014


    Research on Novel Optimization SIFT Algorithm Based Fast Mosaic Method

    Wei, L. / Zhou, S. | British Library Conference Proceedings | 2014