Hyperspectral_Face_Recognition__Challenges_and_Opportunities__1_ (14).pdf (425.44 kB)
Download fileCurrent Advances in Hyperspectral Face Recognition
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posted on 2020-04-20, 18:52 authored by Rizwan QureshiRizwan Qureshi, Muhammad Uzair, Anam ZahraHyperspectral imaging systems are well established,
for satellite, remote sensing and geosciences applications. Recently, the reduction in the cost of hyperspectral sensors and
increase in the imaging speed has attracted computer vision
scientists to apply hyperspectral imaging to ground based computer vision problems such as material classification, agriculture,
chemistry and document image analysis. Hyperspectral imaging
has also been explored for face recognition; to tackle the issues
of pose and illumination variations by exploiting the richer
spectral information of hyperspectral images. In this article,
we present a detailed review on the potential of hyperspectral
imaging for face recognition. We present hyperspectral image
aquisition process and discuss key preprocessing challenges.
We also discuss hyperspectral face recognition databases and
techniques for feature extraction from the hyperspectral images.
Potential future research directions are also highlighted
History
Email Address of Submitting Author
engr.rizwanqureshi786@gmail.comSubmitting Author's Institution
City University of Hong KongSubmitting Author's Country
- Hong Kong