Facial age estimation using hybrid Haar wavelet and color features with Support Vector Regression

Jadid, MA and Rezaei, M orcid.org/0000-0003-3892-421X (2017) Facial age estimation using hybrid Haar wavelet and color features with Support Vector Regression. In: 2017 Artificial Intelligence and Robotics (IRANOPEN). 2017 Artificial Intelligence and Robotics (IranOpen) : the 7th Conference on Artificial Intelligence and Robotics, 09 Apr 2017, Islamic Azad University, Iran. IEEE , pp. 6-12. ISBN 978-1-5386-2862-1

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Copyright, Publisher and Additional Information: ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: age estimationt; Haar wavelet; Support Vector Regression.
Dates:
  • Published: April 2017
  • Accepted: 25 January 2017
  • Published (online): 26 June 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Feb 2020 13:39
Last Modified: 21 Feb 2020 13:48
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/rios.2017.7956436

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