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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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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor JuanJose Villanueva  
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  Notes (up) Approved no  
  Call Number Admin @ si @ Puj2001 Serial 202  
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Author Javier Varona edit  openurl
  Title Seguimiento visual robusto en entornos complejos Type Book Whole
  Year 2001 Publication PhD Thesis Abbreviated Journal  
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  Notes (up) Approved no  
  Call Number Admin @ si @ Var2001 Serial 214  
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Author Juan J. Villanueva edit  isbn
openurl 
  Title Visualization, Imaging and Image Processing. Type Book Whole
  Year 2002 Publication International Association of Science and Technology for Development. ACTA Press, Abbreviated Journal  
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  ISSN ISBN 0–88986–354–3 Medium  
  Area Expedition Conference IASTE  
  Notes (up) Approved no  
  Call Number ISE @ ise @ Vil2002 Serial 276  
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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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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Joan Serrat  
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  Notes (up) 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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  Notes (up) 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  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Bellaterra  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Jordi Vitria  
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  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number Admin @ si @ Gui2004 Serial 444  
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Author Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis edit  openurl
  Title 3D Human Walking Modelling Type Book Whole
  Year 2004 Publication Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:111–122 Abbreviated Journal  
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  Address Springer-Verlag, Berlin, Heidelberg  
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  Notes (up) Approved no  
  Call Number ADAS @ adas @ SAM2004b Serial 494  
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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  
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  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 Medium  
  Area Expedition 978-84-922529-8-7 Conference  
  Notes (up) Approved no  
  Call Number Admin @ si @ Ros2005 Serial 603  
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Author Jordi Gonzalez; Thomas B. Moeslund edit  isbn
openurl 
  Title Tracking Humans for the Evaluation of their Motion in Image Sequences Type Book Whole
  Year 2008 Publication First International Workshop, THEMIS Abbreviated Journal  
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  Address Leeds (UK)  
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  Series Volume Series Issue Edition  
  ISSN ISBN 978-84-935251-9-4 Medium  
  Area Expedition Conference THEMIS  
  Notes (up) Approved no  
  Call Number ISE @ ise @ GMW2008 Serial 1002  
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Author Juan J. Villanueva edit  isbn
openurl 
  Title Visualization, Imaging, and Image Processing, Type Book Whole
  Year 2008 Publication Proceedings of the Eight IASTED International Conference Abbreviated Journal  
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  Address Palma de Mallorca (Spain)  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-0-88986-759-8 Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number ISE @ ise @ Vil2008 Serial 1003  
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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 Medium  
  Area Expedition 978-84-935251-7-0 Conference  
  Notes (up) Approved no  
  Call Number Admin @ si @ Fer2008 Serial 1105  
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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 (up) Approved no  
  Call Number Admin @ si @ Bai2009 Serial 1210  
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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  
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  Notes (up) Approved no  
  Call Number Admin @ si @ Rot2009 Serial 1261  
Permanent link to this record
 
 
Author Alicia Fornes edit  openurl
  Title Writer Identification by a Combination of Graphical Features in the Framework of Old Handwritten Music Scores Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract The analysis and recognition of historical document images has attracted growing interest in the last years. Mass digitization and document image understanding allows the preservation, access and indexation of this artistic, cultural and technical heritage. The analysis of handwritten documents is an outstanding subfield. The main interest is not only the transcription of the document to a standard format, but also, the identification of the author of a document from a set of writers (namely writer identification).

Writer identification in handwritten text documents is an active area of study, however, the identification of the writer of graphical documents is still a challenge. The main objective of this thesis is the identification of the writer in old music scores, as an example of graphic documents. Concerning old music scores, many historical archives contain a huge number of sheets of musical compositions without information about the composer, and the research on this field could be helpful for musicologists.

The writer identification framework proposed in this thesis combines three different writer identification approaches, which are the main scientific contributions. The first one is based on symbol recognition methods. For this purpose, two novel symbol recognition methods are proposed for coping with the typical distortions in hand-drawn symbols. The second approach preprocesses the music score for obtaining music lines, and extracts information about the slant, width of the writing, connected components, contours and fractals. Finally, the third approach extracts global information by generating texture images from the music scores and extracting textural features (such as Gabor filters and co-occurence matrices).

The high identification rates obtained in the experimental results demonstrate the suitability of the proposed ensemble architecture. To the best of our knowledge, this work is the first contribution on writer identification from images containing graphical languages.		  
  Address Barcelona (Spain)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Josep Llados;Gemma Sanchez  
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  Notes (up) Approved no  
  Call Number DAG @ dag @ For2009 Serial 1265  
Permanent link to this record
 
 
Author Jose Antonio Rodriguez edit  openurl
  Title Statistical frameworks and prior information modeling in handwritten word-spotting Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract Handwritten word-spotting (HWS) is the pattern analysis task that consists in finding keywords in handwritten document images. So far, HWS has been applied mostly to historical documents in order to build search engines for such image collections. This thesis addresses the problem of word-spotting for detecting important keywords in business documents. This is a first step towards the process of automatic routing of correspondence based on content.

However, the application of traditional HWS techniques fails for this type of documents. As opposed to historical documents, real business documents present a very high variability in terms of writing styles, spontaneous writing, crossed-out words, spelling mistakes, etc. The main goal of this thesis is the development of pattern recognition techniques that lead to a high-performance HWS system for this challenging type of data.

We develop a statistical framework in which word models are expressed in terms of hidden Markov models and the a priori information is encoded in a universal vocabulary of Gaussian codewords. This systems leads to a very robust performance in word-spotting task. We also find that by constraining the word models to the universal vocabulary, the a priori information of the problem of interest can be exploited for developing new contributions. These include a novel writer adaptation method, a system for searching handwritten words by generating typed text images, and a novel model-based similarity between feature vector sequences.		  
  Address Barcelona (Spain)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Gemma Sanchez;Josep Llados;Florent Perronnin  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number Admin @ si @ Rod2009 Serial 1266  
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