| C. Sanderson, S. Bengio. Robust features for frontal face authentication in difficult image conditions. In: Proc. 4th Int. Conf. Audio- and Video-Based Biometric Person Authentication (AVBPA), Guildford, 2003, pp. 495-504. |
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C. Sanderson, S. Bengio. Robust features for frontal face authentication in difficult image conditions. In: Proc. 4th Int. Conf. Audio- and Video-Based Biometric Person Authentication (AVBPA), Guildford, 2003, pp. 495-504.
No context found.
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", IDIAP-RR 03-05, 2003. IDIAP--RR 03-13
No context found.
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", Proc. 4th Int. Conf. Audioand Video-Based Biometric Person Authentication (AVBPA), Guildford, 2003, pp. 495-504.
No context found.
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", Proc. 4th Int. Conf. Audio- and Video-Based Biometric Person Authentication (AVBPA), Guildford, 2003, pp. 495-504.
No context found.
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", IDIAP-RR 03-05, 2003. IDIAP--RR 03-13
.... F = # # # # (#b,#a) # # # (9) where #c (n#b,n#a) denotes the DCT mod2 feature vector for an 88 block located at (n#b, n#a) while #b and #a are block location advancement constants for rows and columns respectively (here, #b=#a=4) Experiments [27] on the VidTIMIT database show (see Table 3) that the enhanced PCA technique retains all the positive aspects of traditional PCA (that is robustness against white noise and compression artefacts) while also being robust to illumination direction changes; moreover enhanced PCA outperforms histogram ....
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", IDIAP-RR 03-05, 2003. IDIAP--RR 03-13
....which build from the 2D DCT. The performance of the traditional and proposed feature extraction techniques is compared in Section 4, using artificial and real life illumination direction changes. This report is an extended version of [54] The reader may also be interested in related works: [7, 8, 56, 57]. 2 Summary of Past Face Recognition Approaches This section presents a concise review of previous approaches to automatic face recognition. It goes into detail with the most important and or popular approaches; the reader is also directed to recent survey articles [10, 23, 70] Generally ....
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", IDIAP Research Report 03-05, Martigny, Switzerland, 2003.
....build from the 2D DCT. The performance of the traditional and proposed feature extraction techniques is compared in Section 4, using artificial and real life illumination direction changes. This report is an extended and revised version of [53] The reader may also be interested in related works: [7, 56]. 2 Summary of Past Face Recognition Approaches This section presents a concise review of previous approaches to automatic face recognition. It goes into detail with the most important and or popular approaches; the reader is also directed to recent survey articles [9, 22, 68] Generally ....
C. Sanderson and S. Bengio, "Robust Features for Frontal Face Authentication in Difficult Image Conditions", IDIAP-RR 03-05, Martigny, Switzerland, 2003.
No context found.
C. Sanderson and S. Bengio, "Robust features for frontal face authentication in difficult image conditions, " in Proc. 4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA), Guildford, UK, 2003.
No context found.
C. Sanderson and S. Bengio. Robust features for frontal face authentication in di#cult image conditions. In Proc. International Conference on Audio- and Video-Based Biometric Person Authentication 2003.
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