Open Access

Head Pose Estimation Based on Robust Convolutional Neural Network

 and    | Jan 25, 2017
Cybernetics and Information Technologies's Cover Image
Cybernetics and Information Technologies
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016

Cite

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.2008.106Search in Google Scholar

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.Search in Google Scholar

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.2003.12.005Search in Google Scholar

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.Search in Google Scholar

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)00012-7Search in Google Scholar

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)90039-6Search in Google Scholar

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.Search in Google Scholar

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)00091-1Search in Google Scholar

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.Search in Google Scholar

10. Luo, P., X. Wang, X. Tang. Hierarchical Face Parsing Via Deep Learning. – CVPR, 2012, pp. 2480-2487.Search in Google Scholar

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.Search in Google Scholar

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.2013.446Search in Google Scholar

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.Search in Google Scholar

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.2014.243Search in Google Scholar

15. http://www.frvt.org/Search in Google Scholar

16. http://www2.imm.dtu.dk/~aam/Search in Google Scholar

17. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.htmlSearch in Google Scholar

18. http://fei.edu.br/~cet/facedatabase.htmlSearch in Google Scholar

19. htttp://vis-www.cs.umass.edu/~vidit/IndianFaceDatabase/Search in Google Scholar

20. http://www.multipie.org/Search in Google Scholar

21. http://www-prima.inrialpes.fr/Pointing04/data~face.htmlSearch in Google Scholar

22. http://www.pudn.com/downloads628/sourcecode/graph/detail2553627.htmlSearch in Google Scholar

23. http://www.eecs.qmul.ac.uk/~andrea/spevi.htmlSearch in Google Scholar

24. Bengio, Y. Learning Deep Architectures for AI. – Foundations and Trends in Machine Learning, Vol. 2, 2009, No 1, pp. 1-127.10.1561/2200000006Search in Google Scholar

eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology