| Records |
| Author |
Enric Marti; G.Estape; S.Fernandez |
| Title |
Bluestar: Diseño e implementación de una aplicación para la visualización interactiva en 3D de funciones reales como herramienta de aprendizaje |
Type |
Miscellaneous |
| Year |
2008 |
Publication |
V Congreso Internacional Docencia Universitaria e Innovación |
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Place of Publication  |
Lleida |
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| Notes |
IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ MEF2008 |
Serial |
1590 |
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| Author |
Enric Marti; Debora Gil; Marc Vivet; Carme Julia |
| Title |
Uso de recursos virtuales en Aprendizaje Basado en Proyectos. Una experiencia en la asignatura de Gráficos por Computador |
Type |
Miscellaneous |
| Year |
2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
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Lleida |
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Series Title |
Octava Jornada sobre Aprendizaje Cooperativo |
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Conference |
JENUI |
| Notes |
IAM;ADAS |
Approved |
no |
| Call Number |
IAM @ iam @ MRG2009b |
Serial |
1597 |
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| |
| Author |
Enric Marti; Debora Gil; Marc Vivet; Carme Julia |
| Title |
Uso de recursos virtuales en Aprendizaje Basado en Proyectos. Una experiencia en la asignatura de Gráficos por Computador |
Type |
Miscellaneous |
| Year |
2008 |
Publication |
VIII Jornada sobre Aprendizaje Cooperativo, I Jornada sobre innovacion Docente |
Abbreviated Journal |
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Lleida |
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| Notes |
IAM;ADAS; |
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no |
| Call Number |
IAM @ iam @ MRG2008b |
Serial |
1600 |
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| Author |
Enric Marti; Jaume Rocarias; Petia Radeva; Ricardo Toledo; Jordi Vitria |
| Title |
Caronte: diseño, implementación y mejora de actividades de evaluación y primeras experiencias en asignaturas |
Type |
Miscellaneous |
| Year |
2008 |
Publication |
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Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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Place of Publication |
Lleida |
Editor |
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Series Title |
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Expedition |
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Conference |
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| Notes |
IAM;RV;OR;MILAB;ADAS;MV |
Approved |
no |
| Call Number |
IAM @ iam @ MRR2008 |
Serial |
1612 |
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| |
| Author |
Debora Gil; Petia Radeva |
| Title |
Inhibition of false landmarks |
Type |
Journal Article |
| Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
27 |
Issue |
9 |
Pages |
1022-1030 |
| Keywords |
|
| Abstract |
Corners and junctions are landmarks characterized by the lack of differentiability in the unit tangent to the image level curve. Detectors based on differential operators are not, by their own definition, the best posed as they require a higher degree of differentiability to yield a reliable response. We argue that a corner detector should be based on the degree of continuity of the tangent vector to the image level sets, work on the image domain and need no assumptions on neither the image local structure nor the particular geometry of the corner/junction. An operator measuring the degree of differentiability of the projection matrix on the image gradient fulfills the above requirements. Because using smoothing kernels leads to corner misplacement, we suggest an alternative fake response remover based on the receptive field inhibition of spurious details. The combination of both orientation discontinuity detection and noise inhibition produce our inhibition orientation energy (IOE) landmark locator. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Elsevier Science Inc. |
Place of Publication |
New York, NY, USA |
Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0167-8655 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GiR2006 |
Serial |
1529 |
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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 |
| Keywords |
|
| 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. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Elsevier Science Inc. |
Place of Publication |
New York, NY, USA |
Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0167-8655 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAM2003 |
Serial |
1653 |
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| Author |
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin |
| Title |
Virtual Worlds and Active Learning for Human Detection |
Type |
Conference Article |
| Year |
2011 |
Publication |
13th International Conference on Multimodal Interaction |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
393-400 |
| Keywords |
Pedestrian Detection; Human detection; Virtual; Domain Adaptation; Active Learning |
| Abstract |
Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive research. The most promising human detectors rely on classifiers developed in the discriminative paradigm, i.e., trained with labelled samples. However, labeling is a manual intensive step, especially in cases like human detection where it is necessary to provide at least bounding boxes framing the humans for training. To overcome such problem, some authors have proposed the use of a virtual world where the labels of the different objects are obtained automatically. This means that the human models (classifiers) are learnt using the appearance of rendered images, i.e., using realistic computer graphics. Later, these models are used for human detection in images of the real world. The results of this technique are surprisingly good. However, these are not always as good as the classical approach of training and testing with data coming from the same camera, or similar ones. Accordingly, in this paper we address the challenge of using a virtual world for gathering (while playing a videogame) a large amount of automatically labelled samples (virtual humans and background) and then training a classifier that performs equal, in real-world images, than the one obtained by equally training from manually labelled real-world samples. For doing that, we cast the problem as one of domain adaptation. In doing so, we assume that a small amount of manually labelled samples from real-world images is required. To collect these labelled samples we propose a non-standard active learning technique. Therefore, ultimately our human model is learnt by the combination of virtual and real world labelled samples (Fig. 1), which has not been done before. We present quantitative results showing that this approach is valid. |
| Address |
Alicante, Spain |
| Corporate Author |
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Thesis |
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| Publisher |
ACM DL |
Place of Publication |
New York, NY, USA, USA |
Editor |
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| Language |
English |
Summary Language |
English |
Original Title |
Virtual Worlds and Active Learning for Human Detection |
| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-1-4503-0641-6 |
Medium |
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| Area |
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Expedition |
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Conference |
ICMI |
| Notes |
ADAS |
Approved |
yes |
| Call Number |
ADAS @ adas @ VLP2011a |
Serial |
1683 |
| Permanent link to this record |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Subtle Facial Expression Recognition in Still Images and Videos |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Advances in Face Image Analysis: Techniques and Technologies |
Abbreviated Journal |
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| Volume |
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Issue |
14 |
Pages |
259-277 |
| Keywords |
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| Abstract |
This chapter addresses the recognition of basic facial expressions. It has three main contributions. First, the authors introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. they represent the learned facial actions associated with different facial expressions by time series. Two dynamic recognition schemes are proposed: (1) the first is based on conditional predictive models and on an analysis-synthesis scheme, and (2) the second is based on examples allowing straightforward use of machine learning approaches. Second, the authors propose an efficient recognition scheme based on the detection of keyframes in videos. Third, the authors compare the dynamic scheme with a static one based on analyzing individual snapshots and show that in general the former performs better than the latter. The authors then provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IGI-Global |
Place of Publication |
New York, USA |
Editor |
Yu-Jin Zhang |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
978-1-6152-0991-0 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ DoR2011 |
Serial |
1751 |
| Permanent link to this record |
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| |
| Author |
Oriol Pujol; Debora Gil; Petia Radeva |
| Title |
Fundamentals of Stop and Go active models |
Type |
Journal Article |
| Year |
2005 |
Publication |
Image and Vision Computing |
Abbreviated Journal |
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| Volume |
23 |
Issue |
8 |
Pages |
681-691 |
| Keywords |
Deformable models; Geodesic snakes; Region-based segmentation |
| Abstract |
An efficient snake formulation should conform to the idea of picking the smoothest curve among all the shapes approximating an object of interest. In current geodesic snakes, the regularizing curvature also affects the convergence stage, hindering the latter at concave regions. In the present work, we make use of characteristic functions to define a novel geodesic formulation that decouples regularity and convergence. This term decoupling endows the snake with higher adaptability to non-convex shapes. Convergence is ensured by splitting the definition of the external force into an attractive vector field and a repulsive one. In our paper, we propose to use likelihood maps as approximation of characteristic functions of object appearance. The better efficiency and accuracy of our decoupled scheme are illustrated in the particular case of feature space-based segmentation. |
| Address |
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Thesis |
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| Publisher |
Butterworth-Heinemann |
Place of Publication |
Newton, MA, USA |
Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0262-8856 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB;HuPBA |
Approved |
no |
| Call Number |
IAM @ iam @ PGR2005 |
Serial |
1629 |
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| Author |
Sergio Escalera; David Masip; Eloi Puertas; Petia Radeva; Oriol Pujol |
| Title |
Online Error-Correcting Output Codes |
Type |
Journal Article |
| Year |
2011 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
32 |
Issue |
3 |
Pages |
458-467 |
| Keywords |
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| Abstract |
IF JCR CCIA 1.303 2009 54/103
This article proposes a general extension of the error correcting output codes framework to the online learning scenario. As a result, the final classifier handles the addition of new classes independently of the base classifier used. In particular, this extension supports the use of both online example incremental and batch classifiers as base learners. The extension of the traditional problem independent codings one-versus-all and one-versus-one is introduced. Furthermore, two new codings are proposed, unbalanced online ECOC and a problem dependent online ECOC. This last online coding technique takes advantage of the problem data for minimizing the number of dichotomizers used in the ECOC framework while preserving a high accuracy. These techniques are validated on an online setting of 11 data sets from UCI database and applied to two real machine vision applications: traffic sign recognition and face recognition. As a result, the online ECOC techniques proposed provide a feasible and robust way for handling new classes using any base classifier. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Elsevier |
Place of Publication |
North Holland |
Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0167-8655 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB;OR;HuPBA;MV |
Approved |
no |
| Call Number |
Admin @ si @ EMP2011 |
Serial |
1714 |
| Permanent link to this record |
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| Author |
Gemma Sanchez; Josep Llados; Enric Marti |
| Title |
Segmentation and analysis of linial texture in plans |
Type |
Conference Article |
| Year |
1997 |
Publication |
Intelligence Artificielle et Complexité. |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
Structural Texture, Voronoi, Hierarchical Clustering, String Matching. |
| Abstract |
The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph. |
| Address |
Paris, France |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
Paris |
Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Conference |
AERFAI |
| Notes |
DAG;IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ SLM1997 |
Serial |
1649 |
| Permanent link to this record |
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| Author |
Carles Sanchez; Debora Gil; Antoni Rosell; Albert Andaluz; F. Javier Sanchez |
| Title |
Segmentation of Tracheal Rings in Videobronchoscopy combining Geometry and Appearance |
Type |
Conference Article |
| Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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| Volume |
1 |
Issue |
|
Pages |
153--161 |
| Keywords |
Video-bronchoscopy, tracheal ring segmentation, trachea geometric and appearance model |
| Abstract |
Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways and minimal invasive interventions. Tracheal procedures are ordinary interventions that require measurement of the percentage of obstructed pathway for injury (stenosis) assessment. Visual assessment of stenosis in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error. Accurate detection of tracheal rings is the basis for automated estimation of the size of stenosed trachea. Processing of videobronchoscopic images acquired at the operating room is a challenging task due to the wide range of artifacts and acquisition conditions. We present a model of the geometric-appearance of tracheal rings for its detection in videobronchoscopic videos. Experiments on sequences acquired at the operating room, show a performance close to inter-observer variability |
| Address |
Barcelona; February 2013 |
| Corporate Author |
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Thesis |
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| Publisher |
SciTePress |
Place of Publication |
Portugal |
Editor |
Sebastiano Battiato and José Braz |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-989-8565-47-1 |
Medium |
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| Area |
800 |
Expedition |
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Conference |
VISAPP |
| Notes |
IAM;MV; 600.044; 600.047; 600.060; 605.203 |
Approved |
no |
| Call Number |
IAM @ iam @ SGR2013 |
Serial |
2123 |
| Permanent link to this record |
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| |
| Author |
Josep Llados; Horst Bunke; Enric Marti |
| Title |
Using cyclic string matching to find rotational and reflectional symmetric shapes |
Type |
Conference Article |
| Year |
1996 |
Publication |
Dagstuhl Seminar on Modelling and Planning for Sensor–based Intelligent Robot Systems |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
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Thesis |
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| Publisher |
World Scientific |
Place of Publication |
Saarbrucken (Germany). |
Editor |
R.C. Bolles, H.B.H.N. |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ LBM1996 |
Serial |
1564 |
| Permanent link to this record |
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| Author |
Debora Gil; Petia Radeva; J. Mauri |
| Title |
Ivus Segmentation Via a Regularized Curvature Flow |
Type |
Conference Article |
| Year |
2002 |
Publication |
X Congreso Anual de la Sociedad Española de Ingeniería Biomédica CASEIB 2002 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
133-136 |
| Keywords |
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| Abstract |
Cardiac diseases are diagnosed and treated through a study of the morphology and dynamics of cardiac arteries. In- travascular Ultrasound (IVUS) imaging is of high interest to physicians since it provides both information. At the current state-of-the-art in image segmentation, a robust detection of the arterial lumen in IVUS demands manual intervention or ECG-gating. Manual intervention is a tedious and time consuming task that requires experienced observers, meanwhile ECG-gating is an acquisition technique not available in all clinical centers. We introduce a parametric algorithm that detects the arterial luminal border in in vivo sequences. The method consist in smoothing the sequences’ level surfaces under a regularized mean curvature flow that admits non-trivial steady states. The flow is based on a measure of the surface local smoothness that takes into account regularity of the surface curvature. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
Saragossa, Espanya |
Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GRM2002 |
Serial |
1536 |
| Permanent link to this record |
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| |
| Author |
Debora Gil; Jaume Garcia; Ruth Aris; Guillaume Houzeaux; Manuel Vazquez |
| Title |
A Riemmanian approach to cardiac fiber architecture modelling |
Type |
Conference Article |
| Year |
2009 |
Publication |
1st International Conference on Mathematical & Computational Biomedical Engineering |
Abbreviated Journal |
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| Volume |
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Issue |
|
Pages |
59-62 |
| Keywords |
cardiac fiber architecture; diffusion tensor magnetic resonance imaging; differential (Rie- mannian) geometry. |
| Abstract |
There is general consensus that myocardial fiber architecture should be modelled in order to fully understand the electromechanical properties of the Left Ventricle (LV). Diffusion Tensor magnetic resonance Imaging (DTI) is the reference image modality for rapid measurement of fiber orientations by means of the tensor principal eigenvectors. In this work, we present a mathematical framework for across subject comparison of the local geometry of the LV anatomy including the fiber architecture from the statistical analysis of DTI studies. We use concepts of differential geometry for defining a parametric domain suitable for statistical analysis of a low number of samples. We use Riemannian metrics to define a consistent computation of DTI principal eigenvector modes of variation. Our framework has been applied to build an atlas of the LV fiber architecture from 7 DTI normal canine hearts. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
Swansea (UK) |
Editor |
Nithiarasu, R.L.R.V.L. |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
CMBE |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ FGA2009 |
Serial |
1520 |
| Permanent link to this record |
