| Syed A. Rizvi, P. Jonathon Phillips, and Hyeonjoon Moon. A verification protocol and statistical performance analysis for face recognition algorithms. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1998. |
....does not degrade with larger amounts of data. Multi level representation The proposed descriptor represents the feature at a single level of abstraction but it can be extended to incorporate multi level representation. 7. Appendix Supporting Material and Publications A recent paper [1] compares the performance of the descriptor proposed above, with several other competing descriptors. This study was performed by an independent group of researchers as part of the U.S. Army Research Lab s FERET project. The study found that the descriptor proposed in this document, consisting of ....
S.A. Rizvie, P.J. Phillips, and H. Moon, "A Verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms," Proc. Int. Conf. Comp. Vision & Pattern Recognition, Santa Barbara, CA, pp. 833-838, June 1998.
....all databases and a reasonably sized discriminant matrix. The descriptor has been evaluated against several other schemes in the FERET test [6] that was conducted by an independent group of researchers in the US Army Research Labs. The results of comparison with other schemes are reported in [5]. The study found that a descriptor, consisting of a combination of PCA and LDA schemes, significantly outperformed various other schemes in the task of verification. Thus, the efficacy of the descriptor is favorable. 6.1 Integration into the Description Definition Language The syntax for the ....
S.A. Rizvi, P.J. Phillips, and H. Moon, "A verification protocol and statistical performance analysis for face recognition algorithms," Proc. Int. Conf. on Computer Vision & Pattern Recognition, pp. 833-838, 1998.
....face recognition has recently received significant attention, especially during the past several years. This is evidenced by the emergence of face recognition conferences such as AFGR [1] and AVBPA [2] and systematic empirical evaluations of face recognition techniques, including the FERET [3, 4, 5, 6] and XM2VTS [7] protocols. There are at least two reasons for this trend; the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after 30 years of research. This paper provides an up to date critical survey of still ....
....face recognition has recently received significant attention, especially during the past few years. This is evidenced by the emergence of face recognition conferences such as AFGR [1] and AVBPA [2] and systematic empirical evaluations of face recognition techniques (FRT) including the FERET [3, 4, 5, 6] and XM2VTS [7] protocols. There are at least two reasons for this trend; the first is the wide range of commercial and law enforcement applications and the second is the availability of feasible technologies after 30 years of research. The strong need for user friendly systems that can secure ....
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S.A. Rizvi, P.J. Phillips, and H. Moon, "A Verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms," in Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, pp. 833-838, 1998.
No context found.
Syed A. Rizvi, P. Jonathon Phillips, and Hyeonjoon Moon. A verification protocol and statistical performance analysis for face recognition algorithms. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1998.
No context found.
S. Rizvi, P. J. Phillips, and H. Moon, "A verification protocol and statistical performance analysis for face recognition algorithms," presented at Computer Vision and Pattern Recognition, Los Alamitos, CA, 1998.
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Syed A. Rizvi, P. Jonathon Phillips, and Hyeonjoon Moon. A verification protocol and statistical performance analysis for face recognition algorithms. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1998.
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