K. Okada, J. Steffans, T. Maurer, H. Hong, E. Elagin, H. Neven, and C.v.d. Malsburg, "The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test," in Face Recognition: From Theory to Applications (H. Wechsler, P.J. Phillips, V. Bruce, F.F. Soulie and T.S. Huang, eds.), Berlin: Springer-Verlag, pp. 186-205, 1998. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Face Recognition: A Literature Survey - Zhao, Chellappa, Rosenfeld.. (2000) (55 citations) (Correct)
....algorithms from Michigan State University [56] Sept. 1996) and the University of Maryland [59, 60] Sept. 1996 and March 1997) ffl A gray scale projection algorithm from Rutgers University [170] Sept. 1996) 30 ffl An Elastic Graph Matching algorithm from the University of Southern California [79, 171] (March 1997) ffl A baseline PCA algorithm [44, 172, 173] ffl A baseline normalized correlation matching algorithm. The month the evaluation was administered is given in parentheses. Three of the algorithms performed very well: Probabilistic Eigenface from MIT [169] Subspace LDA from UMD [60, ....
....infrared images are interesting, but are hard to apply in practice. Many methods have been proposed for face recognition based on image intensities [9] Basically 50 they can be divided into holistic template matching based systems [33, 44, 56, 58, 59, 60] geometrical local feature based schemes [51, 171], and hybrid methods [45] Even though all these types of systems have been successfully used for to face recognition, they have advantages and disadvantages. Thus appropriate schemes should be chosen based on the specific requirements of a given task. For example, the EBGM based system [171] has ....
[Article contains additional citation context not shown here]
K. Okada, J. Steffans, T. Maurer, H. Hong, E. Elagin, H. Neven, and C.v.d. Malsburg, "The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test," in Face Recognition: From Theory to Applications (H. Wechsler, P.J. Phillips, V. Bruce, F.F. Soulie and T.S. Huang, eds.), Berlin: Springer-Verlag, pp. 186-205, 1998.
3D Model Enhanced Face Recognition - Zhao, Chellappa (Correct)
....methods have been successfully applied to the task of face recognition, they do have certain advantages and disadvantages. Thus an appropriate scheme should be chosen based on the specific requirements of a given task. 1. 1 Two Problems in Face Recognition Despite the successes of many systems [6, 5, 4] based on the FERET test, many issues remain to be addressed. Among those issues the following two are prominent for most systems: 1) the illumination problem and 2) the pose problem. Performance degradation due to the illumination problem in face recognition is clearly suggested in the FERET ....
K. Okada, J. Steffans, T. Maurer, H. Hong, E. Elagin, H. Neven, and C.v.d. Malsburg, "The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test," Face Recognition: From Theory to Applications, Eds. H. Wechsler, P.J. Phillips, V. Bruce, F.F. Soulie and T.S. Huang, Springer-Verlag, pp. 186-205, 1998.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC