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The Scientific World Journal
Volume 2014, Article ID 905269, 15 pages
http://dx.doi.org/10.1155/2014/905269
Research Article

Comparative Study of Human Age Estimation with or without Preclassification of Gender and Facial Expression

Division of Electronics and Electrical Engineering, Dongguk University, Seoul 100-715, Republic of Korea

Received 16 June 2014; Revised 31 July 2014; Accepted 9 August 2014; Published 9 September 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Dat Tien Nguyen et al. 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 [13 citations]

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

  • Vladimir Khryashchev, Alexander Ganin, Olga Stepanova, and Anton Lebedev, “Age estimation from face images: challenging problem for audience measurement systems,” Proceedings of 16th Conference of Open Innovations Association FRUCT, pp. 31–37, . View at Publisher · View at Google Scholar
  • Maral Arvanaghi Jadid, and Omid Sojoodi Sheijani, “Facial age estimation under the terms of local latency using weighted local binary pattern and multi-layer perceptron,” 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA), pp. 184–189, . View at Publisher · View at Google Scholar
  • Dat Tien Nguyen, So Ra Cho, Tuyen Danh Pham, and Kang Ryoung Park, “Human age estimation method robust to camera sensor and/or face movement,” Sensors (Switzerland), vol. 15, no. 9, pp. 21898–21930, 2015. View at Publisher · View at Google Scholar
  • Yeong Gon Kim, Won Oh Lee, Ki Wan Kim, Hyung Gil Hong, and Kang Ryoung Park, “Performance enhancement of face recognition in smart TV using symmetrical fuzzy-based quality assessment,” Symmetry, vol. 7, no. 3, pp. 1475–1518, 2015. View at Publisher · View at Google Scholar
  • Dat Tien Nguyen, So Ra Cho, and Kang Ryoung Park, “Age estimation-based soft biometrics considering optical blurring based on symmetrical sub-blocks for MLBP,” Symmetry, vol. 7, no. 4, pp. 1882–1913, 2015. View at Publisher · View at Google Scholar
  • Kang Ryoung Park, and Dat Tien Nguyen, “Enhanced age estimation by considering the areas of non-skin and the non-uniform illumination of visible light camera sensor,” Expert Systems with Applications, vol. 66, pp. 302–322, 2016. View at Publisher · View at Google Scholar
  • Se. Bekhouche, A. Ouafi, F. Dornaika, A. Taleb-Ahmed, and A. Hadid, “Pyramid multi-level features for facial demographic estimation,” Expert Systems with Applications, vol. 80, pp. 297–310, 2017. View at Publisher · View at Google Scholar
  • Belver, Arganda-Carreras, and Dornaika, “Comparative study of human age estimation based on hand-crafted and deep face features,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10165, pp. 98–112, 2017. View at Publisher · View at Google Scholar
  • Belver, Arganda-Carreras, and Dornaika, “Evaluating age estimation using deep convolutional neural nets,” IS and T International Symposium on Electronic Imaging Science and Technology, vol. 130000, pp. 100–105, 2017. View at Publisher · View at Google Scholar
  • Imad Mohamed Ouloul, Zakaria Moutakki, Karim Afdel, and Abdellah Amghar, “Improvement of age estimation using an efficient wrinkles descriptor,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar
  • Raphael Angulu, Jules R. Tapamo, and Aderemi O. Adewumi, “Age estimation via face images: a survey,” EURASIP Journal on Image and Video Processing, vol. 2018, no. 1, 2018. View at Publisher · View at Google Scholar
  • Jeon Kang, Chan Kim, Young Lee, Se Cho, and Kang Park, “Age Estimation Robust to Optical and Motion Blurring by Deep Residual CNN,” Symmetry, vol. 10, no. 4, pp. 108, 2018. View at Publisher · View at Google Scholar
  • Adriana Tapus, Antonio Bandera, Ricardo Vazquez-Martin, and Luis V. Calderita, “Perceiving the person and their interactions with the others for social robotics – A review,” Pattern Recognition Letters, 2018. View at Publisher · View at Google Scholar