• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval

Vol. 4, No. 3, June 29, 2010
10.3837/tiis.2010.06.007, Download Paper (Free):

Abstract

This paper proposes an efficient and yet powerful local descriptor called phase-space partition based descriptor (PPD). This descriptor is designed for the mobile image matching and retrieval. PPD, which is inspired from SIFT, also encodes the salient aspects of the image gradient in the neighborhood around an interest point. However, without employing SIFT’s smoothed gradient orientation histogram, we apply the region based gradient statistics in phase space to the construction of a feature representation, which allows to reduce much computation requirements. The feature matching experiments demonstrate that PPD achieves favorable performance close to that of SIFT and faster building and matching. We also present results showing that the use of PPD descriptors in a mobile image retrieval application results in a comparable performance to SIFT.


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Cite this article

[IEEE Style]
C. Liu, J. Yang and D. Feng, "PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval," KSII Transactions on Internet and Information Systems, vol. 4, no. 3, pp. 305-323, 2010. DOI: 10.3837/tiis.2010.06.007.

[ACM Style]
Congxin Liu, Jie Yang, and Deying Feng. 2010. PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval. KSII Transactions on Internet and Information Systems, 4, 3, (2010), 305-323. DOI: 10.3837/tiis.2010.06.007.