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The Scientific World Journal
Volume 2014, Article ID 628494, 15 pages
Research Article

Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines

Mechatronics Engineering Department, Engineering Faculty, Firat University, 23119 Elazig, Turkey

Received 12 August 2013; Accepted 7 October 2013; Published 16 January 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Ayşegül Uçar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Ayşegül Uçar, Yakup Demir, and Cüneyt Güzeliş, “A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering,” Neural Computing and Applications, vol. 27, no. 1, pp. 131–142, 2014. View at Publisher · View at Google Scholar
  • Olasimbo Ayodeji Arigbabu, Sharifah Mumtazah Syed Ahmad, Wan Azizun Wan Adnan, Salman Yussof, Vahab Iranmanesh, and Fahad Layth Malallah, “Estimating Body Related Soft Biometric Traits in Video Frames,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Emrehan Yavşan, and Ayşegül Uçar, “Teaching human gestures to humanoid robots by using Kinect sensor,” 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, pp. 1208–1211, 2015. View at Publisher · View at Google Scholar
  • Aouatif Amine, Mohammed Rziza, Nawal Alioua, and Abdelaziz Bensrhair, “Estimating driver head pose using steerable pyramid and probabilistic learning,” International Journal of Computational Vision and Robotics, vol. 5, no. 4, pp. 347–364, 2015. View at Publisher · View at Google Scholar
  • Jiuwen Cao, and Zhiping Lin, “Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey,” Mathematical Problems in Engineering, vol. 2015, pp. 1–13, 2015. View at Publisher · View at Google Scholar
  • Emrehan Yavşan, and Ayşeg�l U�ar, “Gesture imitation and recognition using Kinect sensor and extreme learning machines,” Measurement: Journal of the International Measurement Confederation, vol. 94, pp. 852–861, 2016. View at Publisher · View at Google Scholar