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Author Ramon Baldrich edit  openurl
  Title Perceptual approach to a computational colour-texture representation for surface inspection. Type Book Whole
  Year 2001 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ Bal2001 Serial 73  
Permanent link to this record
 
 
Author Ricardo Toledo edit  openurl
  Title Cardiac workstation and dynamic model to assist in coronary tree analysis. Type Book Whole
  Year 2001 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract  
  Address  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Petia Radeva;JuanJose Villanueva  
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  Notes ADAS Approved no  
  Call Number Admin @ si @ Tol2001 Serial 166  
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Author Antonio Lopez edit  openurl
  Title Multilocal Methods for Ridge and Valley Delineation in Image Analysis. Type Book Whole
  Year 2000 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Joan Serrat  
  Language Summary Language Original Title  
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  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ Lop2000 Serial 174  
Permanent link to this record
 
 
Author Felipe Lumbreras edit  openurl
  Title Segmentation, classification and modelization of textures by means of multiresolution decomposition techniques. Type Book Whole
  Year 2001 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ Lum2001 Serial 188  
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Author A. Pujol edit  openurl
  Title Contributions to shape and texture face similarity measurement. Type Book Whole
  Year 2001 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract  
  Address  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor JuanJose Villanueva  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN (up) Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Puj2001 Serial 202  
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Author David Lloret edit  openurl
  Title Medical Image Registration Based on a Creaseress Measure. Type Book Whole
  Year 2002 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract  
  Address  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Joan Serrat  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN (up) Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Llo2002 Serial 321  
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Author Jordi Gonzalez edit  openurl
  Title Human Sequence Evaluation: the Key-frame Approach Type Book Whole
  Year 2004 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Xavier Roca;Javier Varona  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number ISE @ ise @ Gon2004 Serial 362  
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Author David Guillamet edit  openurl
  Title Statistical Local Appearance Models for Object Recognition Type Book Whole
  Year 2004 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract  
  Address Bellaterra  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Jordi Vitria  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN (up) Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Gui2004 Serial 444  
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Author Oriol Pujol edit  openurl
  Title A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis Type Book Whole
  Year 2004 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address CVC (UAB), Bellaterra  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Petia Radeva  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
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  Area Expedition Conference  
  Notes HuPBA;MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ Puj2004 Serial 512  
Permanent link to this record
 
 
Author Misael Rosales edit  openurl
  Title A Physics-Based Image Modelling of IVUS as a Geometric and Kinematic System Type Book Whole
  Year 2005 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address CVC (UAB)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Petia Radeva  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN (up) Medium  
  Area Expedition 978-84-922529-8-7 Conference  
  Notes Approved no  
  Call Number Admin @ si @ Ros2005 Serial 603  
Permanent link to this record
 
 
Author Fernando Vilariño edit   pdf
openurl 
  Title A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy Type Book Whole
  Year 2006 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way.		  
  Address CVC (UAB)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Petia Radeva  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue 84-933652-7-0 Edition  
  ISSN ISBN (up) Medium  
  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number Admin @ si @ Vil2006; IAM @ iam @ Vil2006 Serial 738  
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Author Miquel Ferrer edit  openurl
  Title Theory and Algorithms on the Median Graph. Application to Graph-based Classification and Clustering Type Book Whole
  Year 2008 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Francesc Serratosa Casanelles;Ernest Valveny  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN (up) Medium  
  Area Expedition 978-84-935251-7-0 Conference  
  Notes Approved no  
  Call Number Admin @ si @ Fer2008 Serial 1105  
Permanent link to this record
 
 
Author Robert Benavente edit  openurl
  Title A Parametric Model for Computational Colour Naming Type Book Whole
  Year 2007 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords PhD Thesis  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Maria Vanrell  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ Ben2007 Serial 1108  
Permanent link to this record
 
 
Author Pau Baiget edit  openurl
  Title Modeling Human Behavior for Image Sequence Understanding and Generation Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract The comprehension of animal behavior, especially human behavior, is one of the most ancient and studied problems since the beginning of civilization. The big list of factors that interact to determine a person action require the collaboration of different disciplines, such as psichology, biology, or sociology. In the last years the analysis of human behavior has received great attention also from the computer vision community, given the latest advances in the acquisition of human motion data from image sequences.

Despite the increasing availability of that data, there still exists a gap towards obtaining a conceptual representation of the obtained observations. Human behavior analysis is based on a qualitative interpretation of the results, and therefore the assignment of concepts to quantitative data is linked to a certain ambiguity.

This Thesis tackles the problem of obtaining a proper representation of human behavior in the contexts of computer vision and animation. On the one hand, a good behavior model should permit the recognition and explanation the observed activity in image sequences. On the other hand, such a model must allow the generation of new synthetic instances, which model the behavior of virtual agents.

First, we propose methods to automatically learn the models from observations. Given a set of quantitative results output by a vision system, a normal behavior model is learnt. This results provides a tool to determine the normality or abnormality of future observations. However, machine learning methods are unable to provide a richer description of the observations. We confront this problem by means of a new method that incorporates prior knowledge about the enviornment and about the expected behaviors. This framework, formed by the reasoning engine FMTL and the modeling tool SGT allows the generation of conceptual descriptions of activity in new image sequences. Finally, we demonstrate the suitability of the proposed framework to simulate behavior of virtual agents, which are introduced into real image sequences and interact with observed real agents, thereby easing the generation of augmented reality sequences.

The set of approaches presented in this Thesis has a growing set of potential applications. The analysis and description of behavior in image sequences has its principal application in the domain of smart video--surveillance, in order to detect suspicious or dangerous behaviors. Other applications include automatic sport commentaries, elderly monitoring, road traffic analysis, and the development of semantic video search engines. Alternatively, behavioral virtual agents allow to simulate accurate real situations, such as fires or crowds. Moreover, the inclusion of virtual agents into real image sequences has been widely deployed in the games and cinema industries.		  
  Address Bellaterra (Spain)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Jordi Gonzalez;Xavier Roca  
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  Notes Approved no  
  Call Number Admin @ si @ Bai2009 Serial 1210  
Permanent link to this record
 
 
Author David Rotger edit  openurl
  Title Analysis and Multi-Modal Fusion of coronary Images Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract The framework of this thesis is to study in detail different techniques and tools for medical image registration in order to ease the daily life of clinical experts in cardiology. The first aim of this thesis is providing computer tools for
fusing IVUS and angiogram data is of high clinical interest to help the physicians locate in IVUS data and decide which lesion is observed, how long it is, how far from a bifurcation or another lesions stays, etc. This thesis proves and
validates that we can segment the catheter path in angiographies using geodesic snakes (based on fast marching algorithm), a three-dimensional reconstruction of the catheter inspired in stereo vision and a new technique to fuse IVUS
and angiograms that establishes exact correspondences between them. We have developed a new workstation called iFusion that has four strong advantages: registration of IVUS and angiographic images with sub-pixel precision, it works on- and off-line, it is independent on the X-ray system and there is no need of daily calibration. The second aim of the thesis is devoted to developing a computer-aided analysis of IVUS for image-guided intervention. We have designed, implemented
and validated a robust algorithm for stent extraction and reconstruction from IVUS videos. We consider a very special and recent kind of stents, bioabsorbable stents that represent a great clinical challenge due to their property to be
absorbed by time and thus avoiding the “danger” of neostenosis as one of the main problems of metallic stents. We present a new and very promising algorithm based on an optimized cascade of multiple classifiers to automatically detect individual stent struts of a very novel bioabsorbable drug eluting coronary stent. This problem represents a very challenging target given the variability in contrast, shape and grey levels of the regions to be detected, what is
denoted by the high variability between the specialists (inter-observer variability of 0.14~$\pm$0.12). The obtained results of the automatic strut detection are within the inter-observer variability.		  
  Address Barcelona (Espanya)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Petia Radeva  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Rot2009 Serial 1261  
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