Face and texture analysis using local descriptors: A comparative analysis

A. Hadid, J. Ylioinas, Miguel Bordallo Lopez

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

Abstract

In contrast to global image descriptors which compute features directly from the entire image, local descriptors representing the features in small local image patches have proved to be more effective in real world conditions. This paper considers three recent yet popular local descriptors, namely Local Binary Patterns (LBP), Local Phase Quantization (LPQ) and Binarized Statistical Image Features (BSIF), and provides extensive comparative analysis on two different research problems (gender and texture classification) using benchmark datasets. The three descriptors are analyzed in terms of both classification accuracy and computational costs. Furthermore, experiments on combining these descriptors are provided, pointing out useful insight into their complementarity.
Original languageEnglish
Title of host publication4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages4
ISBN (Electronic)978-1-4799-6463-5
ISBN (Print)978-1-4799-6462-8
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventIEEE International conference in image processing tools and applications - France, Orleans, France
Duration: 15 Oct 2014 → …

Conference

ConferenceIEEE International conference in image processing tools and applications
CountryFrance
CityOrleans
Period15/10/14 → …

Keywords

  • Local descriptors
  • texture analysis
  • gender classification

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    Hadid, A., Ylioinas, J., & Bordallo Lopez, M. (2014). Face and texture analysis using local descriptors: A comparative analysis. In 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IPTA.2014.7001944