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Author (up) Bogdan Raducanu; Fadi Dornaika edit   pdf
doi  openurl
  Title Texture-independent recognition of facial expressions in image snapshots and videos Type Journal Article
  Year 2013 Publication Machine Vision and Applications Abbreviated Journal MVA  
  Volume 24 Issue 4 Pages 811-820  
  Keywords  
  Abstract This paper addresses the static and dynamic recognition of basic facial expressions. It has two main contributions. First, we introduce a view- and texture-independent scheme that exploits facial action parameters estimated by an appearance-based 3D face tracker. We represent the learned facial actions associated with different facial expressions by time series. Second, we compare this dynamic scheme with a static one based on analyzing individual snapshots and show that the former performs better than the latter. We provide evaluations of performance using three subspace learning techniques: linear discriminant analysis, non-parametric discriminant analysis and support vector machines.  
  Address  
  Corporate Author Thesis  
  Publisher Springer-Verlag Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0932-8092 ISBN Medium  
  Area Expedition Conference  
  Notes OR; 600.046; 605.203;MV Approved no  
  Call Number Admin @ si @ RaD2013 Serial 2230  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Fadi Dornaika edit   pdf
doi  isbn
openurl 
  Title Out-of-Sample Embedding by Sparse Representation Type Conference Article
  Year 2012 Publication Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop Abbreviated Journal  
  Volume 7626 Issue Pages 336-344  
  Keywords  
  Abstract A critical aspect of non-linear dimensionality reduction techniques is represented by the construction of the adjacency graph. The difficulty resides in finding the optimal parameters, a process which, in general, is heuristically driven. Recently, sparse representation has been proposed as a non-parametric solution to overcome this problem. In this paper, we demonstrate that this approach not only serves for the graph construction, but also represents an efficient and accurate alternative for out-of-sample embedding. Considering for a case study the Laplacian Eigenmaps, we applied our method to the face recognition problem. Experimental results conducted on some challenging datasets confirmed the robustness of our approach and its superiority when compared to existing techniques.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-34165-6 Medium  
  Area Expedition Conference SSPR&SPR  
  Notes OR;MV Approved no  
  Call Number Admin @ si @ RaD2012c Serial 2175  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Fadi Dornaika edit   pdf
doi  isbn
openurl 
  Title Pose-Invariant Face Recognition in Videos for Human-Machine Interaction Type Conference Article
  Year 2012 Publication 12th European Conference on Computer Vision Abbreviated Journal  
  Volume 7584 Issue Pages 566.575  
  Keywords  
  Abstract Human-machine interaction is a hot topic nowadays in the communities of computer vision and robotics. In this context, face recognition algorithms (used as primary cue for a person’s identity assessment) work well under controlled conditions but degrade significantly when tested in real-world environments. This is mostly due to the difficulty of simultaneously handling variations in illumination, pose, and occlusions. In this paper, we propose a novel approach for robust pose-invariant face recognition for human-robot interaction based on the real-time fitting of a 3D deformable model to input images taken from video sequences. More concrete, our approach generates a rectified face image irrespective with the actual head-pose orientation. Experimental results performed on Honda video database, using several manifold learning techniques, show a distinct advantage of the proposed method over the standard 2D appearance-based snapshot approach.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-33867-0 Medium  
  Area Expedition Conference ECCVW  
  Notes OR;MV Approved no  
  Call Number Admin @ si @ RaD2012e Serial 2182  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Real-Time Face Tracking for Context-Aware Computing Type Miscellaneous
  Year 2005 Publication 8th Catalan Conference on Artificial Intelligence (CCIA 2005) (published in Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2005a Serial 560  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Real-Time Face Tracking for Context-Aware Computing Type Book Chapter
  Year 2005 Publication Artificial Intelligence Research and Development, IOS Press, 91–98 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Amsterdam  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2005b Serial 616  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title A Robust Particle Filter-based Face Tracker Using a Combination of Color and Geometric Information Type Report
  Year 2005 Publication CVC Technical Report #90 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address CVC (UAB)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2005c Serial 617  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Aprendiendo a Aprender: de Maquinas Listas a Maquinas Inteligentes Type Miscellaneous
  Year 2006 Publication Campus Multidisciplinario en Percepcion e Inteligencia (Antionio Fernandez–Caballero et al., eds.), 1: 34–45 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Albacete (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2006b Serial 714  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information Type Book Chapter
  Year 2006 Publication International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2006c Serial 715  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Online Learning for Human-Robot Interaction Type Conference Article
  Year 2007 Publication IEEE Conference on Computer Vision and Pattern Recognition Workshop on Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Minneapolis (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference CVPR  
  Notes OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2007a Serial 791  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Incremental Subspace Learning for Cognitive Visual Processes Type Conference Article
  Year 2007 Publication Advances in Brain, Vision and Artificial Intelligence, 2nd International Symposium Abbreviated Journal  
  Volume 4729 Issue Pages 214–223  
  Keywords  
  Abstract  
  Address Naples (Italy)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference BVAI’07  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2007b Serial 901  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Learning to Learn: From Smarts Machines to Intelligent Machines Type Journal
  Year 2008 Publication Patter Recognition Letters Abbreviated Journal PRL  
  Volume 29 Issue 8 Pages 1024–1032  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008a Serial 950  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition Type Journal
  Year 2008 Publication Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications Abbreviated Journal  
  Volume 11 Issue 3-4 Pages 259–268  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008c Serial 997  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Face Recognition by Artificial Vision Systems: A Cognitive Perspective Type Journal
  Year 2008 Publication International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal IJPRAI  
  Volume 22 Issue 5 Pages 899–913  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008b Serial 1007  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria; Ales Leonardis edit  url
doi  openurl
  Title Online pattern recognition and machine learning techniques for computer-vision: Theory and applications Type Journal Article
  Year 2010 Publication Image and Vision Computing Abbreviated Journal IMAVIS  
  Volume 28 Issue 7 Pages 1063–1064  
  Keywords  
  Abstract (Editorial for the Special Issue on Online pattern recognition and machine learning techniques)
In real life, visual learning is supposed to be a continuous process. This paradigm has found its way also in artificial vision systems. There is an increasing trend in pattern recognition represented by online learning approaches, which aims at continuously updating the data representation when new information arrives. Starting with a minimal dataset, the initial knowledge is expanded by incorporating incoming instances, which may have not been previously available or foreseen at the system’s design stage. An interesting characteristic of this strategy is that the train and test phases take place simultaneously. Given the increasing interest in this subject, the aim of this special issue is to be a landmark event in the development of online learning techniques and their applications with the hope that it will capture the interest of a wider audience and will attract even more researchers. We received 19 contributions, of which 9 have been accepted for publication, after having been subjected to usual peer review process.
 
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0262-8856 ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RVL2010 Serial 1280  
Permanent link to this record
 

 
Author (up) Bogdan Raducanu; Jordi Vitria; D. Gatica-Perez edit  doi
isbn  openurl
  Title You are Fired! Nonverbal Role Analysis in Competitive Meetings Type Conference Article
  Year 2009 Publication IEEE International Conference on Audio, Speech and Signal Processing Abbreviated Journal  
  Volume Issue Pages 1949–1952  
  Keywords  
  Abstract This paper addresses the problem of social interaction analysis in competitive meetings, using nonverbal cues. For our study, we made use of ldquoThe Apprenticerdquo 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. The current study was carried out using nonverbal audio cues. Results obtained from the analysis of a full season of the show, representing around 90 minutes of audio data, are very promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words.  
  Address Taipei, Taiwan  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1520-6149 ISBN 978-1-4244-2353-8 Medium  
  Area Expedition Conference ICASSP  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RVG2009 Serial 1154  
Permanent link to this record
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