Handling significant scale difference for object retrieval in a supermarket

Yuhang Zhang*, Lei Wang, Richard Hartley, Hongdong Li

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)


    We propose an object retrieval application which can retrieve user specified objects from a big supermarket. Significant and unpredictable scale difference between the query and the database image is the major obstacle encountered. The widely used local invariant features show their deficiency in such an occasion. To improve the situation, we first design a new weighting scheme which can assess the repeatability of local features against scale variance. Also, another method which deals with scale difference through retrieving a query under multiple scales is also developed. Our methods have been tested on a real image database collected from a local supermarket and outperform the existing local invariant feature based image retrieval approaches. A new spatial check method is also briefly discussed.

    Original languageEnglish
    Title of host publicationDICTA 2009 - Digital Image Computing
    Subtitle of host publicationTechniques and Applications
    Number of pages8
    Publication statusPublished - 2009
    EventDigital Image Computing: Techniques and Applications, DICTA 2009 - Melbourne, VIC, Australia
    Duration: 1 Dec 20093 Dec 2009

    Publication series

    NameDICTA 2009 - Digital Image Computing: Techniques and Applications


    ConferenceDigital Image Computing: Techniques and Applications, DICTA 2009
    CityMelbourne, VIC


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