Efficient location, imaging and recognition of faces by single-pixel camera

Roga, Wojciech and Jeffers, John (2018) Efficient location, imaging and recognition of faces by single-pixel camera. Journal of Optics. pp. 1-13. ISSN 2040-8986 (https://doi.org/10.1088/2040-8986/aae7b9)

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Abstract

Face recognition is a problem with many practical applications. Modern image analysis methods such as object tracking, feature extraction, classification or verification that explore advanced techniques of machine learning and compressive sensing have been used for this purpose. Many of these methods, which are usually applied in image post-processing, are adaptable to fast intelligent viewing with a single-pixel camera. We study such a camera in the context of face recognition with limited information. We seek the optimal basis of patterns for the camera as well as to resolve practical issues related to face localisation and alignment. We compare the use of the Hadamard and eigenface bases for imaging and verification of faces. For the latter task we develop a simple algorithm based on compressive sensing.

ORCID iDs

Roga, Wojciech ORCID logoORCID: https://orcid.org/0000-0003-4434-2515 and Jeffers, John ORCID logoORCID: https://orcid.org/0000-0002-8573-1675;
  • Item type:Article
    ID code:65829
    Dates:
    Date
    Event
    2 November 2018
    Published
    2 November 2018
    Published Online
    11 October 2018
    Accepted
    Notes:This is an author-created, un-copyedited version of an article accepted for publication in Journal of Optics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://iopscience.iop.org/journal/2040-8986.
    Subjects:Science > Physics > Optics. Light
    Department:Faculty of Science > Physics
    Depositing user: Pure Administrator
    Date deposited:18 Oct 2018 08:52
    Last modified:11 Nov 2024 12:08
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/65829
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