Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid (June 2003) recently evaluated a variety of approaches and identified the SIFT [D. G. Lowe, 1999] algorithm as being the most resistant to common image deformations. This paper examines (and improves upon) the local image descriptor used by SIFT. Like SIFT, our descriptors encode the salient aspects of the image gradient in the feature point's neighborhood; however, instead of using SIFT's smoothed weighted histograms, we apply principal components analysis (PCA) to the normalized gradient patch. Our experiments demonstrate that the PCA-based local descriptors are more distinctive, more robust to image deformations, and more compact than the standard SIFT representation. We also present results showing that using these descriptors in an image retrieval application results in increased accuracy and faster matching.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    PCA-SIFT: a more distinctive representation for local image descriptors


    Contributors:
    Yan Ke, (author) / Sukthankar, R. (author)


    Publication date :

    2004-01-01


    Size :

    631716 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    PCA-SIFT: A More Distinctive Representation for Local Image Descriptors

    Ke, Y. / Sukthankar, R. / IEEE Computer Society | British Library Conference Proceedings | 2004


    GOLD: Gaussians of Local Descriptors for image representation

    Serra, G. / Grana, C. / Manfredi, M. et al. | British Library Online Contents | 2015


    Automatic information recognition of traffic panels using SIFT descriptors and HMMs

    Gonzalez, A / Bergasa, L M / Yebes, J Javier et al. | IEEE | 2010


    Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility

    Dilmi, Wissem / El Ferik, Sami / Saif, Abdulwahid Abdulaziz et al. | Elsevier | 2025

    Free access