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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  
  Volume (up) 153 Issue Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
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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  
  Volume (up) 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 Nataliya Shapovalova edit  openurl
  Title On Importance of Interaction and Context Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal  
  Volume (up) 155 Issue Pages  
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  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
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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  
  Volume (up) 156 Issue Pages  
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  Corporate Author Thesis Master's 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 ISE Approved no  
  Call Number Admin @ si @ Xio2010 Serial 1356  
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Author Patricia Marquez edit   pdf
openurl 
  Title Conditions Ensuring Accuracy of Local Optical Flow Schemes Type Report
  Year 2010 Publication CVC Tehcnical Report Abbreviated Journal  
  Volume (up) 157 Issue Pages  
  Keywords  
  Abstract Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes.  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Bellaterra 08193, Barcelona, Spain 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 IAM; Approved no  
  Call Number IAM @ iam @ Mar2010 Serial 1582  
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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  
  Volume (up) 158 Issue Pages  
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  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  
  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  
  Volume (up) 159 Issue Pages  
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  Abstract  
  Address  
  Corporate Author Thesis Master's 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  
  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  
  Volume (up) 160 Issue Pages  
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  Abstract  
  Address  
  Corporate Author Thesis Bachelor's 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 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  
  Volume (up) 161 Issue Pages  
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  Abstract  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number Admin @ si @ Fer2010b Serial 1353  
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Author Monica Piñol edit  openurl
  Title Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal  
  Volume (up) 162 Issue Pages  
  Keywords  
  Abstract  
  Address Bellaterra (Barcelona)  
  Corporate Author Computer Vision Center Thesis Master's 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 ADAS Approved no  
  Call Number Admin @ si @ Piñ2010 Serial 1936  
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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  
  Volume (up) 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 Sergio Vera edit   pdf
openurl 
  Title Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis Type Report
  Year 2010 Publication CVC Technical Report Abbreviated Journal  
  Volume (up) 164 Issue Pages  
  Keywords Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score  
  Abstract Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research.  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Bellaterra 01893, Barcelona, Spain Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes IAM Approved no  
  Call Number IAM @ iam @ Ver2010 Serial 1661  
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Author David Aldavert; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo edit  url
isbn  openurl
  Title Real-time Object Segmentation using a Bag of Features Approach Type Conference Article
  Year 2010 Publication 13th International Conference of the Catalan Association for Artificial Intelligence Abbreviated Journal  
  Volume (up) 220 Issue Pages 321–329  
  Keywords Object Segmentation; Bag Of Features; Feature Quantization; Densely sampled descriptors  
  Abstract In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentation accuracy assigning an object category to every pixel of the image. We propose an efficient color descriptor to complement the information obtained by a typical gradient-based local descriptor. Results show that color proves to be a useful cue to increase the segmentation accuracy, specially in large homogeneous regions. Then, we extend the Hierarchical K-Means codebook using the recently proposed Vector of Locally Aggregated Descriptors method. Finally, we show that the BoF method can be easily parallelized since it is applied locally, thus the time necessary to process an image is further reduced. The performance of the proposed method is evaluated in the standard PASCAL 2007 Segmentation Challenge object segmentation dataset.  
  Address  
  Corporate Author Thesis  
  Publisher IOS Press Amsterdam, Place of Publication Editor In R.Alquezar, A.Moreno, J.Aguilar.  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 9781607506423 Medium  
  Area Expedition Conference CCIA  
  Notes ADAS Approved no  
  Call Number Admin @ si @ ARL2010b Serial 1417  
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Author Eloi Puertas; Sergio Escalera; Oriol Pujol edit  isbn
openurl 
  Title Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning Type Conference Article
  Year 2010 Publication 13th International Conference of the Catalan Association for Artificial Intelligence Abbreviated Journal  
  Volume (up) 220 Issue Pages 193–200  
  Keywords  
  Abstract Sequential learning is that discipline of machine learning that deals with dependent data. In this paper, we use the Multi-scale Stacked Sequential Learning approach (MSSL) to solve the task of pixel-wise classification based on contextual information. The main contribution of this work is a shifting technique applied during the testing phase that makes possible, thanks to template images, to classify objects at different sizes. The results show that the proposed method robustly classifies such objects capturing their spatial relationships.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor R. Alquezar, A. Moreno, J. Aguilar  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-60750-642-3 Medium  
  Area Expedition Conference CCIA  
  Notes HUPBA;MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ PEP2010 Serial 1448  
Permanent link to this record
 

 
Author Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva edit   pdf
doi  openurl
  Title Classification of Coronary Damage in Chronic Chagasic Patients Type Book Chapter
  Year 2010 Publication Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence Abbreviated Journal  
  Volume (up) 299 Issue Pages 461-478  
  Keywords Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding  
  Abstract Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper,
we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.
 
  Address  
  Corporate Author Thesis  
  Publisher Springer-Verlag Place of Publication Editor V. Sgurev, M. Hadjiski (eds)  
  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;MILAB;HUPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EPL2010 Serial 1452  
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