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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
Natural Facial Expression Recognition Using Dynamic and Static Schemes |
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Conference Article |
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2009 |
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5th International Symposium on Visual Computing |
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5875 |
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730–739 |
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Affective computing is at the core of a new paradigm in HCI and AI represented by human-centered computing. Within this paradigm, it is expected that machines will be enabled with perceiving capabilities, making them aware about users’ affective state. The current paper addresses the problem of facial expression recognition from monocular videos sequences. We propose a dynamic facial expression recognition scheme, which is proven to be very efficient. Furthermore, it is conveniently compared with several static-based systems adopting different magnitude of facial expression. We provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). We also provide performance evaluations using arbitrary test video sequences. |
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Las Vegas, USA |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-10330-8 |
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ISVC |
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OR;MV |
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BCNPCL @ bcnpcl @ RaD2009 |
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1257 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
Dynamic Facial Expression Recognition Using Laplacian Eigenmaps-Based Manifold Learning |
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Conference Article |
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2010 |
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IEEE International Conference on Robotics and Automation |
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156–161 |
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In this paper, we propose an integrated framework for tracking, modelling and recognition of facial expressions. The main contributions are: (i) a view- and texture independent scheme that exploits facial action parameters estimated by an appearance-based 3D face tracker; (ii) the complexity of the non-linear facial expression space is modelled through a manifold, whose structure is learned using Laplacian Eigenmaps. The projected facial expressions are afterwards recognized based on Nearest Neighbor classifier; (iii) with the proposed approach, we developed an application for an AIBO robot, in which it mirrors the perceived facial expression. |
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Anchorage; AK; USA; |
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1050-4729 |
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978-1-4244-5038-1 |
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ICRA |
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OR; MV |
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BCNPCL @ bcnpcl @ RaD2010 |
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1310 |
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Author |
Bogdan Raducanu; D. Gatica-Perez |
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Title |
Inferring competitive role patterns in reality TV show through nonverbal analysis |
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Journal Article |
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2012 |
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Multimedia Tools and Applications |
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MTAP |
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56 |
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1 |
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207-226 |
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This paper introduces a new facet of social media, namely that depicting social interaction. More concretely, we address this problem from the perspective of nonverbal behavior-based analysis of competitive meetings. For our study, we made use of “The Apprentice” reality TV show, which features a competition for a real, highly paid corporate job. Our analysis is centered around two tasks regarding a person's role in a meeting: predicting the person with the highest status, and predicting the fired candidates. We address this problem by adopting both supervised and unsupervised strategies. The current study was carried out using nonverbal audio cues. Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words. The analysis is based on two types of data: individual and relational measures. Results obtained from the analysis of a full season of the show are promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach has been conveniently compared with the Influence Model, demonstrating its superiority. |
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Elsevier |
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1380-7501 |
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OR;MV |
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BCNPCL @ bcnpcl @ RaG2012 |
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1360 |
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Author |
Petia Radeva; Enric Marti |
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Title |
Facial Features Segmentation by Model-Based Snakes. |
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1995 |
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Trobada de Joves Investigadors, IIIA. |
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Bellaterra (Barcelona), Spain |
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MILAB; IAM |
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BCNPCL @ bcnpcl @ RaM1995a |
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130 |
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Author |
Petia Radeva; M. Scoccianti |
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Title |
3D Reconstruction of Abdominal Aortic Aneurysm |
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Miscellaneous |
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2000 |
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Elsevier Science B.V., Ed. H.U. Lemke, M.W. Vannier, K. Inamura, A.G.Farman and K.Doi, CARS 2000, pp.1014, ISBN:0–444–50536–9 |
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San Francisco, USA |
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MILAB |
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BCNPCL @ bcnpcl @ RaS2000 |
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439 |
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Author |
Petia Radeva; Jordi Vitria |
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Title |
Region-Based Approach for Discriminant Snakes |
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Miscellaneous |
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2001 |
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Proceedings of ICIP |
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Thesaloniki, Greece |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ RaV2001 |
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436 |
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Author |
Petia Radeva; Jordi Vitria |
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Title |
“Inteligencia artificial” Centre de Visio per Computador |
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Miscellaneous |
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2003 |
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Europacork.com (Digital Journal) Any II num. 7 |
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BCNPCL @ bcnpcl @ RaV2003b |
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404 |
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Author |
Petia Radeva; Jordi Vitria |
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Title |
Discriminant Projections Embedding for Nearest Neighbor Classification |
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Miscellaneous |
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2004 |
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9th Iberoamerican Congress on Pattern Recognition, LNCS 3287:312–319 |
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Puebla (Mexico) |
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BCNPCL @ bcnpcl @ RaV2004a |
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471 |
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Author |
Petia Radeva; Jordi Vitria |
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Title |
Corkinspect: Statistical Learning of Natural Material |
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2004 |
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Italian Beverage Technology, 13(38):11–18 |
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BCNPCL @ bcnpcl @ RaV2004b |
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514 |
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Bogdan Raducanu; Jordi Vitria |
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Title |
Real-Time Face Tracking for Context-Aware Computing |
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2005 |
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8th Catalan Conference on Artificial Intelligence (CCIA 2005) (published in |
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BCNPCL @ bcnpcl @ RaV2005a |
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560 |
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Bogdan Raducanu; Jordi Vitria |
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Real-Time Face Tracking for Context-Aware Computing |
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2005 |
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Artificial Intelligence Research and Development, IOS Press, 91–98 |
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Amsterdam |
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BCNPCL @ bcnpcl @ RaV2005b |
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616 |
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Bogdan Raducanu; Jordi Vitria |
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Title |
A Robust Particle Filter-based Face Tracker Using a Combination of Color and Geometric Information |
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2005 |
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CVC Technical Report #90 |
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BCNPCL @ bcnpcl @ RaV2005c |
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617 |
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Bogdan Raducanu; Jordi Vitria |
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Title |
Aprendiendo a Aprender: de Maquinas Listas a Maquinas Inteligentes |
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2006 |
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Campus Multidisciplinario en Percepcion e Inteligencia (Antionio Fernandez–Caballero et al., eds.), 1: 34–45 |
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BCNPCL @ bcnpcl @ RaV2006b |
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714 |
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Bogdan Raducanu; Jordi Vitria |
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A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information |
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2006 |
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International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933 |
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Bogdan Raducanu; Jordi Vitria |
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Online Learning for Human-Robot Interaction |
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2007 |
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IEEE Conference on Computer Vision and Pattern Recognition Workshop on |
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Minneapolis (USA) |
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CVPR |
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BCNPCL @ bcnpcl @ RaV2007a |
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791 |
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