Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 903160, 9 pages
http://dx.doi.org/10.1155/2014/903160
Research Article

Alignment-Free and High-Frequency Compensation in Face Hallucination

1College of Computer Science and Information Technology, Central South University of Forestry and Technology, Hunan 410004, China
2College of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan

Received 25 August 2013; Accepted 21 November 2013; Published 12 February 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Yen-Wei Chen 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.

Linked References

  1. S. Baker and T. Kanade, “Limits on super-resolution and how to break them,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1167–1183, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. S. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction: a technical overview,” IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21–36, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. W. T. Freeman, T. R. Jones, and E. C. Pasztor, “Example-based super-resolution,” IEEE Computer Graphics and Applications, vol. 22, no. 2, pp. 56–65, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. H. Chang, D.-Y. Yeung, and Y. Xiong, “Super-resolution through neighbor embedding,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04), vol. 1, pp. I275–I282, July 2004. View at Scopus
  5. J. Qiao, J. Liu, and Y.-W. Chen, “Joint blind super-resolution shadow removing,” IEICE Transactions on Information and Systems, vol. E90-D, no. 12, pp. 2060–2069, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Baker and T. Kanade, “Hallucinating faces,” in Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, March 2000.
  7. C. Liu, H.-Y. Shum, and W. T. Freeman, “Face hallucination: theory and practice,” International Journal of Computer Vision, vol. 75, no. 1, pp. 115–134, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. X. Ma, J. Zhang, and C. Qi, “An example-based two-step face Hallucination method through coefficient learning,” in Proceedings of the International Conference on Image Analysis and Recognition (ICIAR '09), vol. 5627 of Lecture Notes in Computer Science, pp. 471–480, 2009.
  9. X. Wang and X. Tang, “Face hallucination and recognition,” in Proceedings of the Audio- and Video-Based Biometric Person Authentication (AVBPA' 03), vol. 2688 of Lecture Notes in Computer Science, p. 1054, 2003.
  10. X. Wang and X. Tang, “Hallucinating face by eigentransformation,” IEEE Transactions on Systems, Man and Cybernetics C, vol. 35, no. 3, pp. 425–434, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Sasatani, X.-H. Han, T. Igarashi, M. Ohashi, Y. Iwamoto, and Y.-W. Chen, “High frequency compensated face hallucination,” in Proceedings of the 18th IEEE International Conference on Image Processing (ICIP '11), pp. 1561–1564, September 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. Liang, J.-H. Lai, W.-S. Zheng, and Z. Cai, “A survey of face hallucination,” in Proceedings of the 7th Chinese Conference on Biometric Recognition (CCBR '12), vol. 7701 of Lecture Notes in Computer Science, pp. 83–93, Springer.
  13. Y. W. Chen, T. Fukui, X. Qiao, T. Igarashi, K. Nakao, and A. Kashimoto, “Multi-angle view, illumination and cosmetic facial image database (MaVIC) and quantitative analysis of facial appearance,” in Structural, Syntactic, and Statistical Pattern Recognition, vol. 5342 of Lecture Notes in Computer Science, pp. 411–420, Springer, 2008. View at Google Scholar
  14. T. Kanade, J. F. Cohn, and Y. Tian, “Comprehensive database for facial expression analysis,” in Proceedings of the IEEE International Conference on Automatic Face & Gesture Recognition, pp. 46–53, 2000.