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M.P. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobatta, L. Vandendorpe, "Multimodal person verification tools using speech and images", In Proceedings of the European Conference on Multimedia Applications, Services and Techniques (ECMAST '96), pp. 747-761, Louvain-La-Neuve, May 28-30 1996.

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The BANCA Database and Evaluation Protocol - Enrique Bailly-Baillire Samy (2003)   (Correct)

....to imposter attack, especially if the imposter possesses information about a client, e.g. a photograph or a recording of client s speech. Multi modal personal verification is one of the most promising approaches to user friendly (hence acceptable) highly secure personal verification systems [5]. BANCA is a European project whose aim is to develop and implement a secure system with enhanced identification, authentication and access control schemes for applications over the Internet such as tele working and Web or remote banking services. One of the major innovations targeted by this ....

M. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka, and L. Vandendorpe. Multi-modal person verification tools using speech and images. In Multimedia Applications, Services and Techniques (ECMAST 96), Louvain-la-Neuve, 1996.


Acoustic-Labial Speaker Verification - Jourlin, Luettin, Genoud, Wassner (1997)   (30 citations)  (Correct)

....of such a system to reject impostors, who claim a false identity, becomes a critical issue in security applications. The use of multiple modalities like face, profile, motion or speech is likely to decrease the possibility of false acceptance and to lead to higher robustness and performance (e.g. [1]) 2] have previously described a bimodal approach for person identification. The system was based on visual features of the static face image and on acoustic features of the speech signal. The performance of the integrated subsystem was shown to be superior to that of each subsystem. The ....

Acheroy, M., C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka and L. Vandendorpe (1996). Multi-modal person verification tools using speech and images. In: European Conf. on Multimedia Applications, Services and Techniques, Louvain-la-neuve, Belgium, 747-761.


Speaker Identification By Lipreading - Lüttin, Thacker, Beet (1996)   (Correct)

....robustness to illumination could be to include training images with different illumination or to exclude those intensity modes from the feature vector which are known to account for illumination. 5. THE M2VTS PROJECT The method described in this paper represents a sub system of the M2VTS project [8 ]. This is a multi modal person verification project for teleservice and security applications. The aim is to provide a complete solution of secured access to local and centralised services in multi media environments. The combination of different modalities is expected to improve the performance ....

. M. Acheroy et al., "Multi-modal person verification tools using speech and images", Proc. Europ. Conf. on Multimedia Applications, Services and Techniques,


Automatic 3D Face Authentication - Charles Beumier And   Self-citation (Acheroy Beumier)   (Correct)

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M.P. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobatta, L. Vandendorpe, "Multimodal person verification tools using speech and images", In Proceedings of the European Conference on Multimedia Applications, Services and Techniques (ECMAST '96), pp. 747-761, Louvain-La-Neuve, May 28-30 1996.


Looking for Faces and Facial Features in Color Images - Sobottka, Pitas (1996)   (6 citations)  Self-citation (Pitas Sobottka)   (Correct)

....background, visual angle and facial expressions, the problem is complex. A critical survey about existing literature on human and machine recognition of faces is given in [3] The present paper deals with the topic of face localization and facial feature extraction. As it is described in [1], this approach is integrated in a multi modal system for person verification using speech and image information. For the detection of facial regions and facial features, several approaches have been published so far using texture, depth, shape and color information or combinations of them. For ....

M. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka, L. Vandendorpe. Multi-modal person verification tools using speech and images. European Conference on Multimedia Applications, Services and Techniques, Louvain-La-Neuve, Belgium, May 28-30, 1996.


Acoustic-Labial Speaker Verification - Jourlin, Lüttin, Genoud, Wassner (1997)   (30 citations)  Self-citation (Genoud)   (Correct)

....of such a system to reject impostors, who claim a false identity, becomes a critical issue in security applications. The use of multiple modalities like face, profile, motion or speech is likely to decrease the possibility of false acceptance and to lead to higher robustness and performance (e.g. Acheroy et al. 1996)) Brunelli and Falavigna (1995) have previously described a bimodal approach for person identification. The system was based on visual features of the static face image and on acoustic features of the speech signal. The performance of the integrated subsystem was shown to be superior to that of ....

Acheroy, M., C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka and L. Vandendorpe (1996). Multi-modal person verification tools using speech and images. In: European Conf. on Multimedia Applications, Services and Techniques, Louvainla -neuve, Belgium, 747-761.


Acoustic-Labial Speaker Verification - Jourlin, Lüttin, Genoud, Wassner (1997)   (30 citations)  Self-citation (Genoud)   (Correct)

....of such a system to reject impostors, who claim a false identity, becomes a critical issue in security applications. The use of multiple modalities like face, profile, motion or speech is likely to decrease the possibility of false acceptance and to lead to higher robustness and performance [1]. Brunelli et al. 2] have previously described a bimodal approach for person identification. The system was based on visual features of the static face image and on acoustic features of the speech signal. The performance of the integrated subsystem was shown to be superior to that of each ....

M. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka and L. Vandendorpe (1996) Multi-Modal Person Verification Tools using Speech and Images Proceedings of the European Conference on Multimedia Applications, Services and Techniques, Louvain-la-neuve, 747-761.


Extraction of Facial Regions and Features using Color and.. - Sobottka, Pitas (1996)   (8 citations)  Self-citation (Pitas Sobottka)   (Correct)

....of faces is given in [2] and [3] In the first step of face recognition, the localization of facial regions and the detection of facial features, e.g. eyes and mouth, is necessary. In this paper we present an approach that copes with the problems of this first step. As it is described in [1], it is part of a multimodal system for person verification using speech and image information. Our approach for face localization is based on the observation that human faces are characterized by their oval shape and skin color, also in the case of varying light conditions. Therefore, we locate ....

M. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka, and L. Vandendorpe. Multi-modal person verification tools using speech and images. In European Conference on Multimedia Applications, Services and Techniques, Louvain-La-Neuve, Belgium, May 28-30 1996.


XM2VTSDB: The Extended M2VTS Database - Messer, Matas, Kittler, Lüttin.. (1999)   (27 citations)  Self-citation (Maitre)   (Correct)

....robust to imposter attack, especially if the imposter possesses information about a client, e.g. a photograph or a recording of client s speech. Multi modal personal verification is one of the most promising approaches to user friendly (hence acceptable) highly secure personal verification systems [6]. Recognition and verification system need training; the larger the training set, the better the performance achieved [8] The volume of data required for training a multi modal system based on the analysis of video and audio signals is in the order of TBytes (1000 GBytes) technology allowing ....

M. Acheroy, C. Beumier, J. Bigun, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka, and L. Vandendorpe. Multi-modal person verification tools using speech and images. In Multimedia Applications, Services and Techniques (ECMAST 96), Louvain-la-Neuve, 1996.

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