Partial Least Squares for Face Hashing
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Referências
Ahonen, T., Hadid, A., and Pietikainen, M. (2006). Face description with local binary patterns: Application to face recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(12):2037–2041.
C E Santos Jr, E Kijak, G. G.W. R. S. (2016). Partial least squares for face hashing. Elsevier Neurocomputing – Special Issue on Binary Representation Learning in Computer Vision, pages 1–44.
Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society Conference on, volume 1, pages 886–893.
Jr, C. E. S., Kijak, E., Gravier, G., and Schwartz, W. R. (2015). Learning to hash faces using large feature vectors. In Content-Based Multimedia Indexing (CBMI), 13th IEEE Workshop on, pages 1–6.
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91–110.
Phillips, P. J., Flynn, P. J., Scruggs, T., Bowyer, K. W., Chang, J., Hoffman, K., Marques, J., Min, J., and Worek, W. (2005). Overview of the face recognition grand challenge. In Computer vision and pattern recognition (CVPR). IEEE Conference on, volume 1, pages 947–954.
Phillips, P. J., Moon, H., Rizvi, S. A., and Rauss, P. J. (2000). The FERET evaluation methodology for face-recognition algorithms. Pattern Analysis and Machine Intelligence, 22(10):1090–1104.
Randen, T. and Husoy, J. H. (1999). Filtering for texture classification: A comparative study. Pattern Analysis and Machine Intelligence, 21(4):291–310.
Schwartz, W. R., Guo, H., Choi, J., and Davis, L. S. (2012). Face identification using large feature sets. Image Processing, IEEE Transactions on, 21(4):2245–2255.
Wang, H., Li, S. Z., and Wang, Y. (2004). Face recognition under varying lighting conditions using self quotient image. In Automatic Face and Gesture Recognition, pages 819–824.
Yuan, Q., Thangali, A., and Sclaroff, S. (2005). Face identification by a cascade of rejection classifiers. In Computer Vision and Pattern Recognition (CVPR) - Workshops. IEEE Conference on, pages 152–152.
C E Santos Jr, E Kijak, G. G.W. R. S. (2016). Partial least squares for face hashing. Elsevier Neurocomputing – Special Issue on Binary Representation Learning in Computer Vision, pages 1–44.
Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society Conference on, volume 1, pages 886–893.
Jr, C. E. S., Kijak, E., Gravier, G., and Schwartz, W. R. (2015). Learning to hash faces using large feature vectors. In Content-Based Multimedia Indexing (CBMI), 13th IEEE Workshop on, pages 1–6.
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91–110.
Phillips, P. J., Flynn, P. J., Scruggs, T., Bowyer, K. W., Chang, J., Hoffman, K., Marques, J., Min, J., and Worek, W. (2005). Overview of the face recognition grand challenge. In Computer vision and pattern recognition (CVPR). IEEE Conference on, volume 1, pages 947–954.
Phillips, P. J., Moon, H., Rizvi, S. A., and Rauss, P. J. (2000). The FERET evaluation methodology for face-recognition algorithms. Pattern Analysis and Machine Intelligence, 22(10):1090–1104.
Randen, T. and Husoy, J. H. (1999). Filtering for texture classification: A comparative study. Pattern Analysis and Machine Intelligence, 21(4):291–310.
Schwartz, W. R., Guo, H., Choi, J., and Davis, L. S. (2012). Face identification using large feature sets. Image Processing, IEEE Transactions on, 21(4):2245–2255.
Wang, H., Li, S. Z., and Wang, Y. (2004). Face recognition under varying lighting conditions using self quotient image. In Automatic Face and Gesture Recognition, pages 819–824.
Yuan, Q., Thangali, A., and Sclaroff, S. (2005). Face identification by a cascade of rejection classifiers. In Computer Vision and Pattern Recognition (CVPR) - Workshops. IEEE Conference on, pages 152–152.
Publicado
04/07/2016
Como Citar
DOS SANTOS JR., Cássio E.; SCHWARTZ, William Robson.
Partial Least Squares for Face Hashing. In: CONCURSO DE TESES E DISSERTAÇÕES (CTD), 29. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 363-368.
ISSN 2763-8820.
DOI: https://doi.org/10.5753/ctd.2016.9132.
