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Author Maria Vanrell; Jordi Vitria edit  openurl
  Title Optimal 3x3 decomposable disks for morphological transformations Type Journal
  Year 1997 Publication Image and Vision Computing, 15(2): 845–854 Abbreviated Journal  
  Volume Issue Pages  
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  Corporate Author Thesis  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (down) OR;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VaV1997c Serial 543  
Permanent link to this record
 
 
Author Santiago Segui; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria edit   pdf
url  isbn
openurl 
  Title Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy Type Book Chapter
  Year 2008 Publication Computer Vision Systems. 6th International Abbreviated Journal  
  Volume 5008 Issue Pages 251–260  
  Keywords  
  Abstract Wireless Video Capsule Endoscopy is a clinical technique consisting of the analysis of images from the intestine which are pro- vided by an ingestible device with a camera attached to it. In this paper we propose an automatic system to diagnose severe intestinal motility disfunctions using the video endoscopy data. The system is based on the application of computer vision techniques within a machine learn- ing framework in order to obtain the characterization of diverse motil- ity events from video sequences. We present experimental results that demonstrate the effectiveness of the proposed system and compare them with the ground-truth provided by the gastroenterologists.  
  Address Santorini (Greece)  
  Corporate Author Thesis  
  Publisher Springer-Verlag Place of Publication Berlin Heidelberg Editor A. Gasteratos, M. Vincze, and J.K. Tsotsos  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-3-540-79546-9 Medium  
  Area 800 Expedition Conference ICVS  
  Notes (down) OR; MV; MILAB; SIAI Approved no  
  Call Number BCNPCL @ bcnpcl @ SIV2008; IAM @ iam @ SIV2008 Serial 962  
Permanent link to this record
 
 
Author 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  
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  Address Minneapolis (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference CVPR  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2007a Serial 791  
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Author Elvina Motard; Bogdan Raducanu; Viviane Cadenat; Jordi Vitria edit  openurl
  Title Incremental On-Line Topological Map Learning for A Visual Homing Application Type Conference Article
  Year 2007 Publication IEEE International Conference on Robotics and Automation Abbreviated Journal  
  Volume Issue Pages 2049–2054  
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  Abstract  
  Address Roma (Italy)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICRA  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MRC2007 Serial 793  
Permanent link to this record
 
 
Author Agata Lapedriza; David Masip; Jordi Vitria edit  openurl
  Title A Hierarchical Approach for Multi-task Logistic Regression Type Conference Article
  Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 4478 Issue Pages 258–265  
  Keywords  
  Abstract  
  Address Girona (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor J. Marti et al.  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IbPRIA  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LMV2007a Serial 902  
Permanent link to this record
 
 
Author David Masip; Agata Lapedriza; Jordi Vitria edit  openurl
  Title Multitask Learning: An Application to Incremental Face Recognition Type Conference Article
  Year 2008 Publication 3rd International Conference on Computer Vision Theory and Applications Abbreviated Journal  
  Volume 1 Issue Pages 585–590  
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  Abstract  
  Address Madeira (Portugal)  
  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 VISAPP  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MLV2008 Serial 979  
Permanent link to this record
 
 
Author Agata Lapedriza; David Masip; Jordi Vitria edit  openurl
  Title Subject Recognition Using a New Approach for Feature Extraction Type Conference Article
  Year 2008 Publication 3rd International Conference on Computer Vision Theory and Applications Abbreviated Journal  
  Volume 2 Issue Pages 61–66  
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  Abstract  
  Address Madeira (Portugal)  
  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 VISAPP  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LMV2008a Serial 980  
Permanent link to this record
 
 
Author David Masip; Agata Lapedriza; Jordi Vitria edit  openurl
  Title Face Verification Sharing Knowledge from Different Subjects Type Conference Article
  Year 2007 Publication 2nd International Conference on Computer Vision Theory and Applications Abbreviated Journal  
  Volume 2 Issue Pages 268–289  
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  Abstract  
  Address Barcelona (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference VISAPP´07  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MLV2007a Serial 995  
Permanent link to this record
 
 
Author Bogdan Raducanu; Fadi Dornaika edit  openurl
  Title Dynamic Vs. Static Recognition of Facial Expressions Type Book Chapter
  Year 2008 Publication Ambient Intelligence. European Conference Abbreviated Journal  
  Volume 5355 Issue Pages 13–25  
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  Abstract  
  Address Nuremberg (Germany)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Rabuñal  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference AMI  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaD2008 Serial 1035  
Permanent link to this record
 
 
Author Agata Lapedriza; David Masip; Jordi Vitria edit  doi
openurl 
  Title On the Use of Independent Tasks for Face Recognition Type Conference Article
  Year 2008 Publication IEEE Computer Society Conference on Computer Vision and Pattern Recognition Abbreviated Journal  
  Volume Issue Pages 1–6  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference CVPR  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LMV2008b Serial 1043  
Permanent link to this record
 
 
Author Bogdan Raducanu; Fadi Dornaika edit  doi
isbn  openurl
  Title Dynamic Facial Expression Recognition Using Laplacian Eigenmaps-Based Manifold Learning Type Conference Article
  Year 2010 Publication IEEE International Conference on Robotics and Automation Abbreviated Journal  
  Volume Issue Pages 156–161  
  Keywords  
  Abstract 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.  
  Address Anchorage; AK; 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 1050-4729 ISBN 978-1-4244-5038-1 Medium  
  Area Expedition Conference ICRA  
  Notes (down) OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaD2010 Serial 1310  
Permanent link to this record
 
 
Author Bogdan Raducanu; Fadi Dornaika edit   pdf
url  doi
openurl 
  Title A Supervised Non-linear Dimensionality Reduction Approach for Manifold Learning Type Journal Article
  Year 2012 Publication Pattern Recognition Abbreviated Journal PR  
  Volume 45 Issue 6 Pages 2432-2444  
  Keywords  
  Abstract IF= 2.61
IF=2.61 (2010)
In this paper we introduce a novel supervised manifold learning technique called Supervised Laplacian Eigenmaps (S-LE), which makes use of class label information to guide the procedure of non-linear dimensionality reduction by adopting the large margin concept. The graph Laplacian is split into two components: within-class graph and between-class graph to better characterize the discriminant property of the data. Our approach has two important characteristics: (i) it adaptively estimates the local neighborhood surrounding each sample based on data density and similarity and (ii) the objective function simultaneously maximizes the local margin between heterogeneous samples and pushes the homogeneous samples closer to each other.

Our approach has been tested on several challenging face databases and it has been conveniently compared with other linear and non-linear techniques, demonstrating its superiority. Although we have concentrated in this paper on the face recognition problem, the proposed approach could also be applied to other category of objects characterized by large variations in their appearance (such as hand or body pose, for instance.		  
  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 0031-3203 ISBN Medium  
  Area Expedition Conference  
  Notes (down) OR; MV Approved no  
  Call Number Admin @ si @ RaD2012a Serial 1884  
Permanent link to this record
 
 
Author Santiago Segui; Michal Drozdzal; Guillem Pascual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria edit   pdf
url  openurl
  Title Generic Feature Learning for Wireless Capsule Endoscopy Analysis Type Journal Article
  Year 2016 Publication Computers in Biology and Medicine Abbreviated Journal CBM  
  Volume 79 Issue Pages 163-172  
  Keywords Wireless capsule endoscopy; Deep learning; Feature learning; Motility analysis  
  Abstract The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a complex task which requires sophisticated computer aided decision (CAD) systems to help physicians with video screening and, finally, with the diagnosis. Most CAD systems used in capsule endoscopy share a common system design, but use very different image and video representations. As a result, each time a new clinical application of WCE appears, a new CAD system has to be designed from the scratch. This makes the design of new CAD systems very time consuming. Therefore, in this paper we introduce a system for small intestine motility characterization, based on Deep Convolutional Neural Networks, which circumvents the laborious step of designing specific features for individual motility events. Experimental results show the superiority of the learned features over alternative classifiers constructed using state-of-the-art handcrafted features. In particular, it reaches a mean classification accuracy of 96% for six intestinal motility events, outperforming the other classifiers by a large margin (a 14% relative performance increase).  
  Address  
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  Notes (down) OR; MILAB;MV; Approved no  
  Call Number Admin @ si @ SDP2016 Serial 2836  
Permanent link to this record
 
 
Author Ricard Borras; Agata Lapedriza; Laura Igual edit   pdf
doi  isbn
openurl 
  Title Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition Type Conference Article
  Year 2012 Publication 9th International Conference on Image Analysis and Recognition Abbreviated Journal  
  Volume 7325 Issue II Pages 98-105  
  Keywords  
  Abstract This work presents DGait, a new gait database acquired with a depth camera. This database contains videos from 53 subjects walking in different directions. The intent of this database is to provide a public set to explore whether the depth can be used as an additional information source for gait classification purposes. Each video is labelled according to subject, gender and age. Furthermore, for each subject and view point, we provide initial and final frames of an entire walk cycle. On the other hand, we perform gait-based gender classification experiments with DGait database, in order to illustrate the usefulness of depth information for this purpose. In our experiments, we extract 2D and 3D gait features based on shape descriptors, and compare the performance of these features for gender identification, using a Kernel SVM. The obtained results show that depth can be an information source of great relevance for gait classification problems.  
  Address Aveiro, Portugal  
  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 978-3-642-31297-7 Medium  
  Area Expedition Conference ICIAR  
  Notes (down) OR; MILAB;MV Approved no  
  Call Number Admin @ si @ BLI2012 Serial 2009  
Permanent link to this record
 
 
Author Ekaterina Zaytseva; Santiago Segui; Jordi Vitria edit   pdf
doi  isbn
openurl 
  Title Sketchable Histograms of Oriented Gradients for Object Detection Type Conference Article
  Year 2012 Publication 17th Iberomerican Conference on Pattern Recognition Abbreviated Journal  
  Volume 7441 Issue Pages 374-381  
  Keywords  
  Abstract In this paper we investigate a new representation approach for visual object recognition. The new representation, called sketchable-HoG, extends the classical histogram of oriented gradients (HoG) feature by adding two different aspects: the stability of the majority orientation and the continuity of gradient orientations. In this way, the sketchable-HoG locally characterizes the complexity of an object model and introduces global structure information while still keeping simplicity, compactness and robustness. We evaluated the proposed image descriptor on publicly Catltech 101 dataset. The obtained results outperforms classical HoG descriptor as well as other reported descriptors in the literature.  
  Address Buenos Aires, Argentina  
  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 978-3-642-33274-6 Medium  
  Area Expedition Conference CIARP  
  Notes (down) OR; MILAB;MV Approved no  
  Call Number Admin @ si @ ZSV2012 Serial 2048  
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