Stacked denoising autoencoders for face pose normalization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8228 LNCS, Issue PART 3, 2013, Pages 241-248

  Kang, Yoonseop ^a   Lee, Kang Tae ^a   Eun, Jihyun ^a   Park, Sung Eun ^a   Choi, Seungjin ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Autoencoder; Face recognition; Pose normalization; Stacked denoising autoencoder

Indexed keywords

AUTO ENCODERS; FACE DATABASE; FACE DETECTOR; FACE RECOGNITION SYSTEMS; FRONTAL FACES; POSE NORMALIZATION; POSE VARIATION; POSE-INVARIANT FACE RECOGNITION;

COMPLEX NETWORKS; DATA PROCESSING; LEARNING SYSTEMS;

FACE RECOGNITION;

EID: 84893400084     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-42051-1_31     Document Type: Conference Paper

References (8)

1. Du, S., Ward, R.: Component-wise pose normalization for pose-invariant face recognition. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 873-876 (2009)
2. Asthana, A., Marks, T.K., Jones, M.J., Tieu, K.H., Rohith, M.V.: Fully automatic pose-invariant face recognition via 3D pose normalization. In: Proceedings of the International Conference on Computer Vision (ICCV), pp. 937-944 (2011)
3. Cootes, T., Walker, K., Talyor, C.J.: View-based active appearance models. In: Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 227-232 (2000)
4. Becker, S.: Unsupervised learning procedures for neural networks. The International Journal of Neural Systems 1 & 2, 17-33 (1991)
5. Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.: Extracting and composing robust features with denoising autoencoders. In: Proceedings of the International Conference on Machine Learning (ICML), pp. 1096-1103 (2008)
6. Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.: Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research 11, 3371-3408 (2010)
7. Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Computation 18(7), 1527-1554 (2006)
8. Nefian, A.V.: Georgia tech face database (1999), http://www.anefian.com/ research/face-reco.htm