The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Autor: Lale Akarun, Bernadette Dorizzi, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, Bao Ly-Van, Sonia Garcia-Salicetti, Arman Savran, Harald Ganster, M.R. Freire, Jonas Richiardi, Josef Kittler, Andrezj Drygajlo, Javier Galbally, Massimo Tistarelli, Sri-Kaushik Pavani, Jean Hennebert, J.L. Alba-Castro, Fernando Alonso-Fernandez, Linda Brodo, Thirimachos Bourlai, Lorene Allano, Enrique Otero-Muras, Elisardo González-Agulla, Michael Fairhurst, Alejandro F. Frangi, Ming Ng, Julian Fierrez, Norman Poh, Farzin Deravi, Carmen García-Mateo, Federico M. Sukno, Andreas Humm

Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2010, 32 (6), pp.1097-1111. ⟨10.1109/TPAMI.2009.76⟩
Recercat. Dipósit de la Recerca de Catalunya
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A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3b6ee34eb42451404569cd34761df6
http://arxiv.org/abs/2111.08702

Non-rigid registration based model-free 3D facial expression recognition

Autor: Arman Savran, Bulent Sankur

Publikováno v: Computer Vision and Image Understanding. 162:146-165

We propose a novel feature extraction approach for 3D facial expression recognition by incorporating non-rigid registration in face-model-free analysis, which in turn makes feasible data-driven, i.e., feature-model-free recognition of expressions. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88004e958a91efac1f061cb72d9e4bf0
https://doi.org/10.1016/j.cviu.2017.07.005

Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities

Autor: Houwei Cao, Ani Nenkova, Ragini Verma, Arman Savran

Publikováno v: IEEE Transactions on Cybernetics. 45:1927-1941

The affective state of people changes in the course of conversations and these changes are expressed externally in a variety of channels, including facial expressions, voice, and spoken words. Recent advances in automatic sensing of affect, through c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b07cb26a9b8544daf27bdecac4438a9d
https://doi.org/10.1109/tcyb.2014.2362101

Comparative evaluation of 3D vs. 2D modality for automatic detection of facial action units

Autor: Bulent Sankur, M. Taha Bilge, Arman Savran

Publikováno v: Pattern Recognition. 45:767-782

Automatic detection of facial expressions attracts great attention due to its potential applications in human-computer interaction as well as in human facial behavior research. Most of the research has so far been performed in 2D. However, as the lim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04bc1a7bea163f7b152e757545dc56d8
https://doi.org/10.1016/j.patcog.2011.07.022

Speaker-independent 3D face synthesis driven by speech and text

Autor: Lale Akarun, Levent M. Arslan, Arman Savran

Publikováno v: Signal Processing. 86:2932-2951

In this study, a complete system that generates visual speech by synthesizing 3D face points has been implemented. The estimated face points drive MPEG-4 facial animation. This system is speaker independent and can be driven by audio or both audio an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca7afdc701989860c83e31f4a29bb66
https://doi.org/10.1016/j.sigpro.2005.12.007