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Head Pose Estimation Based on Robust Convolutional Neural Network Cover

Head Pose Estimation Based on Robust Convolutional Neural Network

By: Jiao Bao and  Mao Ye  
Open Access
|Jan 2017

References

  1. 1. Chutorian, M. E., M. Trivedi. Head Pose Estimation in Computer Vision: A Survey. – IEEE Trans Pattern Analysis and Machine Intelligence, Vol. 31, 2008, No 4, pp. 607-326.10.1109/TPAMI.2008.106
  2. 2. Huang, J., X. Shao, H. Wechsler. Face Pose Discrimination Using Support Vector Machines (SVM). – In: International. Conf. Pattern Recognition, Vol. 1, 1998, No 4, pp. 154-156.
  3. 3. Li, Y., S. Gong, J. Sherrah, H. Liddell. Support Vector Machine Based Multi-View Face Detection and Recognition. – Image and Vision Computing, Vol. 22, 2004, No 5, pp. 413-427.10.1016/j.imavis.2003.12.005
  4. 4. Srinivasan, S., K. L. Boyer. Head Pose Estimation Using View Based Eigenspaces. – In: International. Conf. Pattern Recognition, Vol. 4, 2002, No 4, pp. 302-305.
  5. 5. Kruger, N., M. Potzsch, C. V. D. Malsburg. Determination of Face Position and Pose with a Learned Representation Based on Labeled Graphs. – Image and Vision Computing, Vol. 15, 1997, No 8, pp. 665-673.10.1016/S0262-8856(97)00012-7
  6. 6. Gee, R. C. Determining the Gaze of Faces in Images. – Image and Vision Computing, Vol. 12, 1994, No 94, pp. 639-647.10.1016/0262-8856(94)90039-6
  7. 7. Yao, P., G. Evans, A. Calway. Using Affine Correspondence to Estimate 3-D Facial Pose. – In: International Conf. Image Processing, Vol. 3, 2001, pp. 919-922.
  8. 8. Sherrah, J., S. Gong. Fusion of Perceptual Cues for Robust Tracking of Head Pose and Position. – Pattern Recognition, Vol. 34, 2001, No 8, pp. 1565-1572.10.1016/S0031-3203(00)00091-1
  9. 9. Osadchy, Y. L. C. M., M. L. Miller. Synergistic Face Detection and Pose Estimation with Energy-Based Models. – Journal of Machine Learning Research, Vol. 8, 2007, No 1, pp. 1017-1024.
  10. 10. Luo, P., X. Wang, X. Tang. Hierarchical Face Parsing Via Deep Learning. – CVPR, 2012, pp. 2480-2487.
  11. 11. Krizhevsky, I. S., G. E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. – Advances in Neural Information Processing Systems, Vol. 25, 2012, No 2.
  12. 12. Sun, Y., X. Wang, X. Tang. Deep Convolutional Network Cascade for Facial Point Detection. – In: Conference on Computer Vision and Pattern Recognition, Vol. 9, 2013, No 3, pp. 3476-3483.10.1109/CVPR.2013.446
  13. 13. Eigen, D., C. Puhrsch, R. Fergus. Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network. – Eprint Arxiv, 2014, pp. 2366-2374.
  14. 14. Kan, M., S. Shan, H. Chang, X. Chen. Stacked Progressive Auto-Encoder for Face Recognition. – In: IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 1883-1890.10.1109/CVPR.2014.243
  15. 15. http://www.frvt.org/
  16. 16. http://www2.imm.dtu.dk/~aam/
  17. 17. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
  18. 18. http://fei.edu.br/~cet/facedatabase.html
  19. 19. htttp://vis-www.cs.umass.edu/~vidit/IndianFaceDatabase/
  20. 20. http://www.multipie.org/
  21. 21. http://www-prima.inrialpes.fr/Pointing04/data~face.html
  22. 22. http://www.pudn.com/downloads628/sourcecode/graph/detail2553627.html
  23. 23. http://www.eecs.qmul.ac.uk/~andrea/spevi.html
  24. 24. Bengio, Y. Learning Deep Architectures for AI. – Foundations and Trends in Machine Learning, Vol. 2, 2009, No 1, pp. 1-127.10.1561/2200000006
DOI: https://doi.org/10.1515/cait-2016-0083 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 133 - 145
Published on: Jan 25, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Jiao Bao, Mao Ye, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.