ReferencesΒΆ
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.
- J. Alabort-i-Medina, and S. Zafeiriou. “A Unified Framework for Compositional Fitting of Active Appearance Models”, arXiv:1601.00199.
- J. Alabort-i-Medina, and S. Zafeiriou. “Bayesian Active Appearance Models”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
- 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.
- 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.
- E. Antonakos, J. Alabort-i-Medina, G. Tzimiropoulos, and S. Zafeiriou. “HOG Active Appearance Models”, IEEE International Conference on Image Processing (ICIP), 2014.
- E. Antonakos, J. Alabort-i-Medina, and S. Zafeiriou. “Active Pictorial Structures”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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. 681β685, 2001.
- T.F. Cootes, and C.J. Taylor. “Active shape models-‘smart snakes’”, British Machine Vision Conference (BMVC), 1992.
- 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.
- D. Cristinacce, and T.F. Cootes. “Feature Detection and Tracking with Constrained Local Models”, British Machine Vision Conference (BMVC), 2006.
- 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.
- 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.
- 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.
- B.D. Lucas, and T. Kanade, “An iterative image registration technique with an application to stereo vision”, International Joint Conference on Artificial Intelligence, 1981.
- I. Matthews, and S. Baker. “Active Appearance Models Revisited”, International Journal of Computer Vision, 60(2): 135-164, 2004.
- 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.
- 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.
- 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. 200β215, 2011.
- J.M. Saragih, and R. Goecke. “Learning AAM fitting through simulation”, Pattern Recognition, vol. 42, no. 11, pp. 2628β2636, 2009.
- 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.
- 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.
- G. Tzimiropoulos, J. Alabort-i-Medina, S. Zafeiriou, and M. Pantic. “Generic Active Appearance Models Revisited”, Asian Conference on Computer Vision, Springer, 2012.
- G. Tzimiropoulos, M. Pantic. “Optimization problems for fast AAM fitting in-the-wild”, IEEE International Conference on Computer Vision (ICCV), 2013.
- G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. “Robust and efficient parametric face alignment”, IEEE International Conference on Computer Vision (ICCV), 2011.
- 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.
- 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.