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Author Ole Larsen; Petia Radeva; Enric Marti
Title Bounds on the optimal elasticity parameters for a snake Type Journal Article
Year 1995 Publication Image Analysis and Processing Abbreviated Journal
Volume Issue Pages 37-42
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Abstract This paper develops a formalism by which an estimate for the upper and lower bounds for the elasticity parameters for a snake can be obtained. Objects different in size and shape give rise to different bounds. The bounds can be obtained based on an analysis of the shape of the object of interest. Experiments on synthetic images show a good correlation between the estimated behaviour of the snake and the one actually observed. Experiments on real X-ray images show that the parameters for optimal segmentation lie within the estimated bounds.
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Notes MILAB;IAM Approved no
Call Number IAM @ iam @ LRM1995a Serial 1559
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Author Josep Llados; Enric Marti
Title A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems Type Journal Article
Year 1999 Publication Machine Graphics & Vision Abbreviated Journal
Volume 8 Issue Pages 195-211
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ LIM1999 Serial 1568
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Author Josep Llados; Enric Marti
Title Graph-edit algorithms for hand-drawn graphical document recognition and their automatic introduction Type Journal Article
Year 1999 Publication Machine Graphics & Vision journal, special issue on Graph transformation Abbreviated Journal
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Notes DAG;IAM Approved no
Call Number IAM @ iam @ LIM1999c Serial 1569
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Author Josep Llados; Ernest Valveny; Enric Marti
Title Symbol Recognition in Document Image Analysis: Methods and Challenges Type Journal Article
Year 2000 Publication Recent Research Developments in Pattern Recognition, Transworld Research Network, Abbreviated Journal
Volume 1 Issue Pages 151–178.
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ISSN ISBN 81-86846-61-1 Medium
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Notes DAG;IAM Approved no
Call Number IAM @ iam @ LVM2000 Serial 1575
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Author Josep Llados; Enric Marti; Juan J.Villanueva
Title Symbol recognition by error-tolerant subgraph matching between region adjacency graphs Type Journal Article
Year 2001 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence Abbreviated Journal
Volume 23 Issue 10 Pages 1137-1143
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Abstract The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.
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Notes DAG;IAM;ISE; Approved no
Call Number IAM @ iam @ LMV2001 Serial 1581
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Author Enric Marti; Carme Julia; Debora Gil
Title A PBL Experience in the Teaching of Computer Graphics Type Journal Article
Year 2006 Publication Computer Graphics Forum Abbreviated Journal CGF
Volume 25 Issue 1 Pages 95-103
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Abstract Project-Based Learning (PBL) is an educational strategy to improve student’s learning capability that, in recent years, has had a progressive acceptance in undergraduate studies. This methodology is based on solving a problem or project in a student working group. In this way, PBL focuses on learning the necessary tools to correctly find a solution to given problems. Since the learning initiative is transferred to the student, the PBL method promotes students own abilities. This allows a better assessment of the true workload that carries out the student in the subject. It follows that the methodology conforms to the guidelines of the Bologna document, which quantifies the student workload in a subject by means of the European credit transfer system (ECTS). PBL is currently applied in undergraduate studies needing strong practical training such as medicine, nursing or law sciences. Although this is also the case in engineering studies, amazingly, few experiences have been reported. In this paper we propose to use PBL in the educational organization of the Computer Graphics subjects in the Computer Science degree. Our PBL project focuses in the development of a C++ graphical environment based on the OpenGL libraries for visualization and handling of different graphical objects. The starting point is a basic skeleton that already includes lighting functions, perspective projection with mouse interaction to change the point of view and three predefined objects. Students have to complete this skeleton by adding their own functions to solve the project. A total number of 10 projects have been proposed and successfully solved. The exercises range from human face rendering to articulated objects, such as robot arms or puppets. In the present paper we extensively report the statement and educational objectives for two of the projects: solar system visualization and a chess game. We report our earlier educational experience based on the standard classroom theoretical, problem and practice sessions and the reasons that motivated searching for other learning methods. We have mainly chosen PBL because it improves the student learning initiative. We have applied the PBL educational model since the beginning of the second semester. The student’s feedback increases in his interest for the subject. We present a comparative study of the teachers’ and students’ workload between PBL and the classic teaching approach, which suggests that the workload increase in PBL is not as high as it seems.
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Publisher Computer Graphics Forum Place of Publication Computer Vision CenterComputer Science Department Escola Tcnica Superior d’Enginyeria (UAB), Edifi Editor
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Notes IAM;ADAS; Approved no
Call Number IAM @ iam @ MJG2006a Serial 1607
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Author Oriol Rodriguez-Leor; A. Carol; H. Tizon; Eduard Fernandez-Nofrerias; J. Mauri; Vicente del Valle; Debora Gil; Aura Hernandez-Sabate; Petia Radeva
Title Model estadístic-determinístic per la segmentació de l adventicia en imatges d ecografía intracoronaria Type Journal Article
Year 2005 Publication Rev Societat Catalana Cardiologia Abbreviated Journal
Volume 5 Issue Pages 41
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Notes IAM;MILAB Approved no
Call Number IAM @ iam @ RCT2005 Serial 1637
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Author Oriol Rodriguez-Leor; Debora Gil; Eduard Fernandez-Nofrerias
Title Analisis en los cambios en el nivel de gris en las secuencias angiograficas mediante descriptores estadisticos para determinar la perfusion miocardica Type Journal Article
Year 2006 Publication Revista Española de Cardiología Abbreviated Journal REC
Volume 59 Supl 2-166 Issue 2 Pages 128
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Notes IAM; Approved no
Call Number IAM @ iam @ RGF2006 Serial 1640
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; C. Garcia; R. Villuendas; Vicente del Valle; Debora Gil; Petia Radeva
Title Reconstruction of a spatio-temporal model of the intima layer from intravascular ultrasound sequences Type Journal Article
Year 2003 Publication European Heart Journal Abbreviated Journal
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Notes IAM;MILAB Approved no
Call Number IAM @ iam @ RMF2003c Serial 1641
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva
Title Utilización de la Estructura de los Campos Vectoriales para la Detección de la Adventicia en Imágenes de Ecografía Intracoronaria Type Journal Article
Year 2004 Publication Revista Internacional de Enfermedades Cardiovasculares Revista Española de Cardiología Abbreviated Journal
Volume 57 Issue 2 Pages 100
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Notes IAM;MILAB Approved no
Call Number IAM @ iam @ RMF2004 Serial 1642
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Author David Rotger; Misael Rosales; Jaume Garcia; Oriol Pujol ; J. Mauri; Petia Radeva
Title Active Vessel: A New Multimedia Workstation for Intravascular Ultrasound and Angiography Fusion Type Journal Article
Year 2003 Publication Computers in Cardiology Abbreviated Journal
Volume 30 Issue Pages 65-68
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Abstract AcriveVessel is a new multimedia workstation which enables the visualization, acquisition and handling of both image modalities, on- and ofline. It enables DICOM v3.0 decompression and browsing, video acquisition,repmduction and storage for IntraVascular UltraSound (IVUS) and angiograms with their corresponding ECG,automatic catheter segmentation in angiography images (using fast marching algorithm). BSpline models definition for vessel layers on IVUS images sequence and an extensively validated tool to fuse information. This approach defines the correspondence of every IVUS image with its correspondent point in the angiogram and viceversa. The 3 0 reconstruction of the NUS catheterhessel enables real distance measurements as well as threedimensional visualization showing vessel tortuosity in the space.
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Notes IAM;MILAB;HuPBA Approved no
Call Number IAM @ iam @ RRG2003 Serial 1647
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Author Ernest Valveny; Enric Marti
Title A model for image generation and symbol recognition through the deformation of lineal shapes Type Journal Article
Year 2003 Publication Pattern Recognition Letters Abbreviated Journal PRL
Volume 24 Issue 15 Pages 2857-2867
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Abstract We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents.
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Publisher Elsevier Science Inc. Place of Publication New York, NY, USA Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN 0167-8655 ISBN Medium
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Notes DAG; IAM Approved no
Call Number IAM @ iam @ VAM2003 Serial 1653
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Author Ernest Valveny; Enric Marti
Title Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition Type Journal Article
Year 2000 Publication Graphics Recognition Recent Advances Abbreviated Journal
Volume 1941 Issue Pages 193-208
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Abstract We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is defined as an energy minimization problem, using a Bayesian framework which allows to combine fidelity to ideal shape of the symbol and flexibility to modify the symbol in order to get the best fit to the binary input image. Prior to matching, we find the best global transformation of the symbol to start the recognition process, based on the distance between symbol lines and image lines. We have applied this method to the recognition of dimensions and symbols in architectural floor plans and we show its flexibility to recognize distorted symbols.
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Corporate Author Springer Verlag Thesis
Publisher Springer Verlag Place of Publication Editor
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ MVA2000 Serial 1655
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Author Lluis Pere de las Heras; Ahmed Sheraz; Marcus Liwicki; Ernest Valveny; Gemma Sanchez
Title Statistical Segmentation and Structural Recognition for Floor Plan Interpretation Type Journal Article
Year 2014 Publication International Journal on Document Analysis and Recognition Abbreviated Journal IJDAR
Volume 17 Issue 3 Pages 221-237
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Abstract A generic method for floor plan analysis and interpretation is presented in this article. The method, which is mainly inspired by the way engineers draw and interpret floor plans, applies two recognition steps in a bottom-up manner. First, basic building blocks, i.e., walls, doors, and windows are detected using a statistical patch-based segmentation approach. Second, a graph is generated, and structural pattern recognition techniques are applied to further locate the main entities, i.e., rooms of the building. The proposed approach is able to analyze any type of floor plan regardless of the notation used. We have evaluated our method on different publicly available datasets of real architectural floor plans with different notations. The overall detection and recognition accuracy is about 95 %, which is significantly better than any other state-of-the-art method. Our approach is generic enough such that it could be easily adopted to the recognition and interpretation of any other printed machine-generated structured documents.
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Publisher Springer Berlin Heidelberg Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN 1433-2833 ISBN Medium
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Notes DAG; ADAS; 600.076; 600.077 Approved no
Call Number HSL2014 Serial 2370
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Author Jasper Uilings; Koen E.A. van de Sande; Theo Gevers; Arnold Smeulders
Title Selective Search for Object Recognition Type Journal Article
Year 2013 Publication International Journal of Computer Vision Abbreviated Journal IJCV
Volume 104 Issue 2 Pages 154-171
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Abstract This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Like exhaustive search, we aim to capture all possible object locations. Instead of a single technique to generate possible object locations, we diversify our search and use a variety of complementary image partitionings to deal with as many image conditions as possible. Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for object recognition. In this paper we show that our selective search enables the use of the powerful Bag-of-Words model for recognition. The selective search software is made publicly available (Software: http://disi.unitn.it/~uijlings/SelectiveSearch.html).
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ISSN 0920-5691 ISBN Medium
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Notes ALTRES;ISE Approved no
Call Number Admin @ si @ USG2013 Serial 2362
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