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Author Antonio Hernandez edit  openurl
  Title Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 153 Issue Pages  
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  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes HUPBA;MILAB Approved no  
  Call Number Admin @ si @ Her2010 Serial 1347  
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Author Jorge Bernal; Fernando Vilariño; F. Javier Sanchez edit   pdf
openurl 
  Title Feature Detectors and Feature Descriptors: Where We Are Now Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 154 Issue Pages  
  Keywords  
  Abstract Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours.  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number Admin @ si @ BVS2010; IAM @ iam @ BVS2010 Serial 1348  
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Author Lluis Pere de las Heras edit  openurl
  Title Syntactic Model for Semantic Document Analysis Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 158 Issue Pages  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Per2010 Serial 1350  
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Author Anjan Dutta edit  openurl
  Title Symbol Spotting in Graphical Documents by Serialized Subgraph Matching Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 159 Issue Pages  
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  Corporate Author Thesis Master's thesis  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number Admin @ si @ Dut2010 Serial 1351  
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Author Ekain Artola edit  openurl
  Title Human Attention Map Prediction Combining Visual Features Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 160 Issue Pages  
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  Abstract  
  Address  
  Corporate Author Thesis Bachelor's thesis  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Art2010 Serial 1352  
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Author David Fernandez edit  openurl
  Title Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 161 Issue Pages  
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  Abstract  
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  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number Admin @ si @ Fer2010b Serial 1353  
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Author Jon Almazan edit  openurl
  Title Deforming the Blurred Shape Model for Shape Description and Recognition Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 163 Issue Pages  
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  Corporate Author Thesis Master's thesis  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Alm2010 Serial 1354  
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Author Nataliya Shapovalova edit  openurl
  Title On Importance of Interaction and Context Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 155 Issue Pages  
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  Abstract  
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  Corporate Author Thesis Master's thesis  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number Admin @ si @ Sha2010 Serial 1355  
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Author Zhanwu Xiong edit  openurl
  Title A Pompd Model for Active Camera Control Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal (up)  
  Volume 156 Issue Pages  
  Keywords  
  Abstract  
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  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number Admin @ si @ Xio2010 Serial 1356  
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Author Fernando Barrera; Felipe Lumbreras; Angel Sappa edit  doi
isbn  openurl
  Title Multimodal Template Matching based on Gradient and Mutual Information using Scale-Space Type Conference Article
  Year 2010 Publication 17th IEEE International Conference on Image Processing Abbreviated Journal (up)  
  Volume Issue Pages 2749–2752  
  Keywords  
  Abstract This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresolution context and (ii) information propagation through scale-space representations. Our method consists in combining mutual information with a shape descriptor based on gradient, and propagate them following a coarse-to-fine strategy. The main contributions of this work are: to offer a theoretical formulation towards a multimodal stereo matching; to show that gradient and mutual information can be reinforced while they are propagated between consecutive levels; and to show that they are valid cost functions in multimodal template matchings. Comparisons are presented showing the improvements and viability of the proposed approach.  
  Address Hong-Kong  
  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 1522-4880 ISBN 978-1-4244-7992-4 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ BLS2010 Serial 1358  
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Author Mohammad Rouhani; Angel Sappa edit  doi
isbn  openurl
  Title A Fast accurate Implicit Polynomial Fitting Approach Type Conference Article
  Year 2010 Publication 17th IEEE International Conference on Image Processing Abbreviated Journal (up)  
  Volume Issue Pages 1429–1432  
  Keywords  
  Abstract This paper presents a novel hybrid approach that combines state of the art fitting algorithms: algebraic-based and geometric-based. It consists of two steps; first, the 3L algorithm is used as an initialization and then, the obtained result, is improved through a geometric approach. The adopted geometric approach is based on a distance estimation that avoids costly search for the real orthogonal distance. Experimental results are presented as well as quantitative comparisons.  
  Address Hong-Kong  
  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 1522-4880 ISBN 978-1-4244-7992-4 Medium  
  Area Expedition Conference ICIP  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ RoS2010b Serial 1359  
Permanent link to this record
 

 
Author Fadi Dornaika; Bogdan Raducanu edit  doi
isbn  openurl
  Title Person-specific face shape estimation under varying head pose from single snapshots Type Conference Article
  Year 2010 Publication 20th International Conference on Pattern Recognition Abbreviated Journal (up)  
  Volume Issue Pages 3496–3499  
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  Abstract This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic optimizer. We conducted the experiments on a subset of Honda Video Database showing the feasibility and robustness of the proposed approach. For this reason, our approach could lend itself nicely to complex frameworks involving 3D face tracking and face gesture recognition in monocular videos.  
  Address Istanbul, Turkey  
  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 1051-4651 ISBN 978-1-4244-7542-1 Medium  
  Area Expedition Conference ICPR  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2010b Serial 1361  
Permanent link to this record
 

 
Author Antonio Hernandez; Miguel Reyes; Sergio Escalera; Petia Radeva edit  doi
isbn  openurl
  Title Spatio-Temporal GrabCut human segmentation for face and pose recovery Type Conference Article
  Year 2010 Publication IEEE International Workshop on Analysis and Modeling of Faces and Gestures Abbreviated Journal (up)  
  Volume Issue Pages 33–40  
  Keywords  
  Abstract In this paper, we present a full-automatic Spatio-Temporal GrabCut human segmentation methodology. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization. Spatial information is included by means of Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreover, human segmentation is combined with Shape and Active Appearance Models to perform full face and pose recovery. Results over public data sets as well as proper human action base show a robust segmentation and recovery of both face and pose using the presented methodology.  
  Address San Francisco; CA; USA; June 2010  
  Corporate Author Thesis  
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  Series Volume Series Issue Edition  
  ISSN 2160-7508 ISBN 978-1-4244-7029-7 Medium  
  Area Expedition Conference AMFG  
  Notes MILAB;HUPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ HRE2010 Serial 1362  
Permanent link to this record
 

 
Author Miguel Angel Bautista; Xavier Baro; Oriol Pujol; Petia Radeva; Jordi Vitria; Sergio Escalera edit  openurl
  Title Compact Evolutive Design of Error-Correcting Output Codes Type Conference Article
  Year 2010 Publication Supervised and Unsupervised Ensemble Methods and their Applications in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Abbreviated Journal (up)  
  Volume Issue Pages 119-128  
  Keywords Ensemble of Dichotomizers; Error-Correcting Output Codes; Evolutionary optimization  
  Abstract The classi cation of large number of object categories is a challenging trend in the Machine Learning eld. In literature, this is often addressed using an ensemble of classi ers. In this scope, the Error-Correcting Output Codes framework has demonstrated to be a powerful tool for the combination of classi ers. However, most of the state-of-the-art ECOC approaches use a linear or exponential number of classi ers, making the discrimination of a large number of classes unfeasible. In this paper, we explore and propose a minimal design of ECOC in terms of the number of classi ers. Evolutionary computation is used for tuning the parameters of the classi ers and looking for the best Minimal ECOC code con guration. The results over several public UCI data sets and a challenging multi-class Computer Vision problem show that the proposed methodology obtains comparable and even better results than state-of-the-art ECOC methodologies with far less number of dichotomizers.  
  Address Barcelona (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference SUEMA  
  Notes OR;MILAB;HUPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BBP2010 Serial 1363  
Permanent link to this record
 

 
Author Francesco Ciompi; Oriol Pujol; Petia Radeva edit  doi
isbn  openurl
  Title A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes Type Conference Article
  Year 2010 Publication 20th International Conference on Pattern Recognition Abbreviated Journal (up)  
  Volume Issue Pages 710–713  
  Keywords  
  Abstract We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a classification problem where margin classifiers are used. The set of state transitions for the edge potential is treated as a set of different classes, thus defining a multi-class learning problem. The Error-Correcting Output Codes (ECOC) technique is used to deal with the multi-class problem. Furthermore, the point defined by the combination of margin classifiers in the ECOC space is interpreted in a probabilistic manner, and the obtained distance values are then converted into potential values. The proposed model exhibits very promising results when applied to two real detection problems.  
  Address Istanbul;Turkey  
  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 1051-4651 ISBN 978-1-4244-7542-1 Medium  
  Area Expedition Conference ICPR  
  Notes MILAB;HUPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ CPR2010a Serial 1365  
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