References

This is an indicative list of papers relevant to the methods that are implemented in menpofit. They are listed in alphabetical order of the first author's surname.

  1. J. Alabort-i-Medina, and S. Zafeiriou. "A Unified Framework for Compositional Fitting of Active Appearance Models", arXiv:1601.00199.
  2. J. Alabort-i-Medina, and S. Zafeiriou. "Bayesian Active Appearance Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  3. J. Alabort-i-Medina, and S. Zafeiriou. "Unifying Holistic and Parts-Based Deformable Model Fitting", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  4. E. Antonakos, J. Alabort-i-Medina, G. Tzimiropoulos, and S. Zafeiriou. "Feature-based Lucas-Kanade and Active Appearance Models", IEEE Transactions on Image Processing, vol. 24, no. 9, pp. 2617-2632, 2015.
  5. E. Antonakos, J. Alabort-i-Medina, G. Tzimiropoulos, and S. Zafeiriou. "HOG Active Appearance Models", IEEE International Conference on Image Processing (ICIP), 2014.
  6. E. Antonakos, J. Alabort-i-Medina, and S. Zafeiriou. "Active Pictorial Structures", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  7. A.B. Ashraf, S. Lucey, and T. Chen. "Fast Image Alignment in the Fourier Domain", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  8. A. Asthana, S. Zafeiriou, S. Cheng, and M. Pantic. "Robust discriminative response map fitting with constrained local models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
  9. S. Baker, and I. Matthews. "Equivalence and efficiency of image alignment algorithms", IEEE Conference on Computer Vision and Pattern Recognition, 2001.
  10. S. Baker, and I. Matthews. "Lucas-Kanade 20 years on: A unifying framework", International Journal of Computer Vision, vol. 56, no. 3, pp. 221-255, 2004.
  11. P.N. Belhumeur, D.W. Jacobs, D.J. Kriegman, and N. Kumar. "Localizing parts of faces using a consensus of exemplars", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 12, pp. 2930-2940, 2013.
  12. D.S. Bolme, J.R. Beveridge, B.A. Draper, and Y.M. Lui. "Visual Object Tracking using Adaptive Correlation Filters", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  13. T.F. Cootes, G.J. Edwards, and C.J. Taylor. "Active Appearance Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 681–685, 2001.
  14. T.F. Cootes, and C.J. Taylor. "Active shape models-'smart snakes'", British Machine Vision Conference (BMVC), 1992.
  15. T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham. "Active Shape Models - their training and application", Computer Vision and Image Understanding, vol. 61, no. 1, pp. 38-59, 1995.
  16. D. Cristinacce, and T.F. Cootes. "Feature Detection and Tracking with Constrained Local Models", British Machine Vision Conference (BMVC), 2006.
  17. G.D. Evangelidis, and E.Z. Psarakis. "Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 10, pp. 1858-1865, 2008.
  18. R. Gross, I. Matthews, and S. Baker. "Generic vs. person specific Active Appearance Models", Image and Vision Computing, vol. 23, no. 12, pp. 1080-1093, 2005.
  19. V. Kazemi, and J. Sullivan. "One millisecond face alignment with an ensemble of regression trees", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  20. B.D. Lucas, and T. Kanade, "An iterative image registration technique with an application to stereo vision", International Joint Conference on Artificial Intelligence, 1981.
  21. I. Matthews, and S. Baker. "Active Appearance Models Revisited", International Journal of Computer Vision, vol. 60, no. 2, pp. 135-164, 2004.
  22. G. Papandreou, and P. Maragos. "Adaptive and constrained algorithms for inverse compositional active appearance model fitting", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  23. D. Ross, J. Lim, R.S. Lin, and M.H. Yang. "Incremental Learning for Robust Visual Tracking". International Journal on Computer Vision, vol. 77, no. 1-3, pp. 125-141, 2007.
  24. J.M. Saragih, S. Lucey, and J.F. Cohn. "Deformable model fitting by regularized landmark mean-shift", International Journal of Computer Vision, vol. 91, no. 2, pp. 200–215, 2011.
  25. J.M. Saragih, and R. Goecke. "Learning AAM fitting through simulation", Pattern Recognition, vol. 42, no. 11, pp. 2628–2636, 2009.
  26. G. Tzimiropoulos, J. Alabort-i-Medina, S. Zafeiriou, and M. Pantic. "Active Orientation Models for Face Alignment in-the-wild", IEEE Transactions on Information Forensics and Security, Special Issue on Facial Biometrics in-the-wild, vol. 9, no. 12, pp. 2024-2034, 2014.
  27. G. Tzimiropoulos, and M. Pantic. "Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  28. G. Tzimiropoulos, J. Alabort-i-Medina, S. Zafeiriou, and M. Pantic. "Generic Active Appearance Models Revisited", Asian Conference on Computer Vision, Springer, 2012.
  29. G. Tzimiropoulos, M. Pantic. "Optimization problems for fast AAM fitting in-the-wild", IEEE International Conference on Computer Vision (ICCV), 2013.
  30. G. Tzimiropoulos. "Project-Out Cascaded Regression with an application to Face Alignment", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  31. G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. "Robust and efficient parametric face alignment", IEEE International Conference on Computer Vision (ICCV), 2011.
  32. G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. "Subspace Learning from Image Gradient Orientations", IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 34, no. 12, pp. 2454-2466, 2012.
  33. X. Xiong, and F. De la Torre. "Supervised descent method and its applications to face alignment", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

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