Phillips, P.J., Wechsler, H., Huang, J.S., Rauss, P.J.: The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing 16 (1998) 295--306 Home/Search Document Not in Database Summary Related Articles Check |
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The BANCA Database and Evaluation Protocol - Enrique Bailly-Baillire Samy (2003) (Correct)
.... within the M2VTS project, comprising 37 subjects [3] the DAVID BT database [2] and the database collected within the Extended M2VTS EU project [10] A survey of audio visual databases prepared by Chibelushi et al. [7] lists many others, but these are either mono modal or small e.g. FERET [12], Yale [15] Harvard [13] and Olivetti [14] From the point of view of the database size DAVID BT is comparable with the M2VTS database: 31 clients 5 sessions. However, the speech part of DAVIDBT is significantly larger than that of M2VTSDB. On the other hand the quality and reproducibility ....
P.J. Phillips, H. Wechsler, J.Huang, and P.J. Rauss. The FERET database and evaluation procedure for face-recognition algorithm. Image and Vision Computing, 16:295--306, 1998.
Face Recognition by Independent Component Analysis - Bartlett, Movellan, Sejnowski (2001) (4 citations) (Correct)
....images as random variables and the pixels as outcomes, whereas Architecture II treated the pixels as random variables and the images as outcomes Matlab code for the ICA representations is available at http: inc.ucsd.edu marni. Face recognition performance was tested using the FERET database [52]. Face recognition performances using the ICA representations were benchmarked by comparing them to performances using principal component analysis, which is equivalent to the eigenfaces representation [57, 51] The two ICA representations were then combined in a single classi er. 2 ....
....images were each associated with a set of independent causes , given by a vector of coecients in S. The basis images were estimated by A = W I , where W I is the learned ICA weight matrix. 8 3 Image data The face images employed for this research were a subset of the FERET face database [52]. The data set contained images of 425 individuals. There were up to four frontal views of each individual: A neutral expression and a change of expression from one session, and a neutral expression and change of expression from a second session that occurred up to two years after the rst. ....
P.J. Phillips, H. Wechsler, J. Juang, and P.J. Rauss. The feret database and evaluation procedure for face-recognition algorithms. Image and Vision Computing Journal, 16(5):295-306, 1998.
Facial Asymmetry Quantification for Expression Invariant.. - Liu, Schmidt, Cohn (2002) (2 citations) (Correct)
....of maximum isolation of intrinsic from extrinsic factors, and determining how intrinsic facial asymmetry may contribute to human identi cation. First, we investigate facial asymmetry as a biometric in face images consisting of predominantly neutral expressions. Using the FERET face database [30], we found that facial asymmetry captures individual di erences that can contribute to improved face recognition. We then investigate whether facial asymmetry as a biometric is robust to type and intensity of facial expression. The Cohn Kanade AU Coded Facial Expression Database [15] is used as ....
....on each feature dimension, is around nasal bridge area. This region corresponds to the peak of D y in Figure 9. 5 Face Identi cation Experiments To test the e ectiveness of facial asymmetry measurements, we have used two datasets for our experiments. The rst one is the FERET Database[30] and the second is the Cohn Kanade AU Coded facial expression video sequence database [15] 5.1 Experimental Methods Two di erent datasets with di erent statistical properties are used for our experiments. Accordingly, two di erent classi cation methods are used as baseline classi ers for ....
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P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss. The feret database and evaluation procedure for face-recognition algorithms. Image and Vision Computing, 16(5):295-306, 1998. 27
IEEE Trans. Image Processing, vol. 9, no. 1, pp. 132-137.. - Robust Coding Schemes Self-citation (Wechsler) (Correct)
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P. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing, 16:295--306, 1998.
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P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face recognition algorithms," Image Vis. Comput., vol. 16, pp. 295--306, 1998.
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P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face recognition algorithms. To appear in Image and Vision Computing, 1998.
Correspondence_____________________________________________.. - Large Face Databases Self-citation (Wechsler) (Correct)
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P. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image Vis. Comput., vol. 16, pp. 295--306, 1998.
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P. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16:295--306, 1998.
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P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image and Vision Computing, vol. 16, pp. 295-- 306, 1998.
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P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image and Vision Computing, vol. 16, pp. 295-- 306, 1998.
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P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image and Vision Computing, vol. 16, pp. 295-- 306, 1998.
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P. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16:295--306, 1998.
A Shape and Texture Based Enhanced Fisher Classifier for Face.. - Liu, Wechsler (2001) Self-citation (Wechsler) (Correct)
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P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face recognition algorithms," Image and Vision Computing, vol. 16, pp. 295-- 306, 1998. 18
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Phillips, P.J., Wechsler, H., Huang, J.S., Rauss, P.J.: The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing 16 (1998) 295--306
Nonparametric Maximum Margin Criterion For Face Recognition - Qiu, Wu (Correct)
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Phillips, P., Wechsler, H., Huang, J., Rauss, P.: The FERET database and evaluation procedure for face recognition algorithms. Image Vision Comput. 16 (1998) 295306
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Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: The feret database and evaluation procedure for face recognition algorithms. Image and Vision Computing 16 (1998) 295--306
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Phillips, P.J., Wechsler, H., Huang, J.S., and Rauss, P.J. (1998). The FERET Database and Evaluation Procedure for Face-Recognition Algorithms. Image & Vision Comp. 16(5):295-306.
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P Phillips, H Wechsler, J Huang, and P Rauss. The feret database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 1998.
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