| Records |
| Author |
Antoni Gurgui; Debora Gil; Enric Marti |
| Title |
Laplacian Unitary Domain for Texture Morphing |
Type |
Conference Article |
| Year |
2015 |
Publication |
Proceedings of the 10th International Conference on Computer Vision Theory and Applications VISIGRAPP2015 |
Abbreviated Journal |
|
| Volume |
1 |
Issue |
|
Pages |
693-699 |
| Keywords |
Facial; metamorphosis;LaplacianMorphing |
| Abstract |
Deformation of expressive textures is the gateway to realistic computer synthesis of expressions. By their good mathematical properties and flexible formulation on irregular meshes, most texture mappings rely on solutions to the Laplacian in the cartesian space. In the context of facial expression morphing, this approximation can be seen from the opposite point of view by neglecting the metric. In this paper, we use the properties of the Laplacian in manifolds to present a novel approach to warping expressive facial images in order to generate a morphing between them. |
| Address |
Munich; Germany; February 2015 |
| Corporate Author |
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Thesis |
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Publisher  |
SciTePress |
Place of Publication |
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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 |
978-989-758-089-5 |
Medium |
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| Area |
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Expedition |
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Conference |
VISAPP |
| Notes |
IAM; 600.075 |
Approved |
no |
| Call Number |
Admin @ si @ GGM2015 |
Serial |
2614 |
| Permanent link to this record |
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| |
| Author |
Thierry Brouard; A. Delaplace; Muhammad Muzzamil Luqman; H. Cardot; Jean-Yves Ramel |
| Title |
Design of Evolutionary Methods Applied to the Learning of Bayesian Nerwork Structures |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Bayesian Network |
Abbreviated Journal |
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| Volume |
|
Issue |
|
Pages |
13-37 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Sciyo |
Place of Publication |
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Editor |
Ahmed Rebai |
| 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 |
978-953-307-124-4 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
|
Approved |
no |
| Call Number |
Admin @ si @ BDL2010 |
Serial |
1461 |
| Permanent link to this record |
| |
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| |
| Author |
Debora Gil; Jaume Garcia; Aura Hernandez-Sabate; Enric Marti |
| Title |
Manifold parametrization of the left ventricle for a statistical modelling of its complete anatomy |
Type |
Conference Article |
| Year |
2010 |
Publication |
8th Medical Imaging |
Abbreviated Journal |
|
| Volume |
7623 |
Issue |
762304 |
Pages |
304 |
| Keywords |
|
| Abstract |
Distortion of Left Ventricle (LV) external anatomy is related to some dysfunctions, such as hypertrophy. The architecture of myocardial fibers determines LV electromechanical activation patterns as well as mechanics. Thus, their joined modelling would allow the design of specific interventions (such as peacemaker implantation and LV remodelling) and therapies (such as resynchronization). On one hand, accurate modelling of external anatomy requires either a dense sampling or a continuous infinite dimensional approach, which requires non-Euclidean statistics. On the other hand, computation of fiber models requires statistics on Riemannian spaces. Most approaches compute separate statistical models for external anatomy and fibers architecture. In this work we propose a general mathematical framework based on differential geometry concepts for computing a statistical model including, both, external and fiber anatomy. Our framework provides a continuous approach to external anatomy supporting standard statistics. We also provide a straightforward formula for the computation of the Riemannian fiber statistics. We have applied our methodology to the computation of complete anatomical atlas of canine hearts from diffusion tensor studies. The orientation of fibers over the average external geometry agrees with the segmental description of orientations reported in the literature. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
SPIE |
Place of Publication |
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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 |
SPIE |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ GGH2010a |
Serial |
1522 |
| Permanent link to this record |
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| |
| Author |
Muhammad Anwer Rao; David Vazquez; Antonio Lopez |
| Title |
Opponent Colors for Human Detection |
Type |
Conference Article |
| Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
| Volume |
6669 |
Issue |
|
Pages |
363-370 |
| Keywords |
Pedestrian Detection; Color; Part Based Models |
| Abstract |
Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding good features to build human models for further detection is probably one of the most important issues to face. Currently, shape, texture and motion features have deserve extensive attention in the literature. However, color-based features, which are important in other domains (e.g., image categorization), have received much less attention. In fact, the use of RGB color space has become a kind of choice by default. The focus has been put in developing first and second order features on top of RGB space (e.g., HOG and co-occurrence matrices, resp.). In this paper we evaluate the opponent colors (OPP) space as a biologically inspired alternative for human detection. In particular, by feeding OPP space in the baseline framework of Dalal et al. for human detection (based on RGB, HOG and linear SVM), we will obtain better detection performance than by using RGB space. This is a relevant result since, up to the best of our knowledge, OPP space has not been previously used for human detection. This suggests that in the future it could be worth to compute co-occurrence matrices, self-similarity features, etc., also on top of OPP space, i.e., as we have done with HOG in this paper. |
| Address |
Las Palmas de Gran Canaria. Spain |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
Berlin Heidelberg |
Editor |
J. Vitria; J.M. Sanches; M. Hernandez |
| Language |
English |
Summary Language |
English |
Original Title |
Opponent Colors for Human Detection |
| Series Editor |
|
Series Title |
Lecture Notes on Computer Science |
Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
|
Edition |
|
| ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
|
| Area |
|
Expedition |
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Conference |
IbPRIA |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ RVL2011a |
Serial |
1666 |
| Permanent link to this record |
| |
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| |
| Author |
Angel Sappa; Boris X. Vintimilla |
| Title |
Edge Point Linking by Means of Global and Local Schemes |
Type |
Book Chapter |
| Year |
2008 |
Publication |
in Signal Processing for Image Enhancement and Multimedia Processing |
Abbreviated Journal |
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| Volume |
11 |
Issue |
|
Pages |
115–125 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
E. Damiani |
| 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 |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SaV2008 |
Serial |
938 |
| Permanent link to this record |
| |
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| |
| Author |
Agata Lapedriza; Santiago Segui; David Masip; Jordi Vitria |
| Title |
A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning |
Type |
Journal |
| Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, |
Abbreviated Journal |
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| Volume |
11 |
Issue |
3-4 |
Pages |
299-308 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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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 |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ LSM2008 |
Serial |
996 |
| Permanent link to this record |
| |
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| |
| Author |
Bogdan Raducanu; Jordi Vitria |
| Title |
Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition |
Type |
Journal |
| Year |
2008 |
Publication |
Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
Abbreviated Journal |
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| Volume |
11 |
Issue |
3-4 |
Pages |
259–268 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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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 |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RaV2008c |
Serial |
997 |
| Permanent link to this record |
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| |
| Author |
F. Pla; Petia Radeva; Jordi Vitria |
| Title |
Non-parametric distance-based classification techniques and their applications |
Type |
Journal |
| Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
Abbreviated Journal |
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| Volume |
11 |
Issue |
3-4 |
Pages |
223–225 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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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 |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PRV2008 |
Serial |
999 |
| Permanent link to this record |
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| |
| Author |
Marçal Rusiñol; Josep Llados |
| Title |
Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections |
Type |
Book Whole |
| Year |
2010 |
Publication |
Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections |
Abbreviated Journal |
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| Volume |
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Issue |
|
Pages |
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| Keywords |
Focused Retrieval , Graphical Pattern Indexation,Graphics Recognition ,Pattern Recognition , Performance Evaluation , Symbol Description ,Symbol Spotting |
| Abstract |
The specific problem of symbol recognition in graphical documents requires additional techniques to those developed for character recognition. The most well-known obstacle is the so-called Sayre paradox: Correct recognition requires good segmentation, yet improvement in segmentation is achieved using information provided by the recognition process. This dilemma can be avoided by techniques that identify sets of regions containing useful information. Such symbol-spotting methods allow the detection of symbols in maps or technical drawings without having to fully segment or fully recognize the entire content.
This unique text/reference provides a complete, integrated and large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book examines a number of features and descriptors, from basic photometric descriptors commonly used in computer vision techniques to those specific to graphical shapes, presenting a methodology which can be used in a wide variety of applications. Additionally, readers are supplied with an insight into the problem of performance evaluation of spotting methods. Some very basic knowledge of pattern recognition, document image analysis and graphics recognition is assumed. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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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 |
978-1-84996-208-7 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RuL2010a |
Serial |
1292 |
| Permanent link to this record |
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| |
| Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |
| Title |
Comparing Graph Similarity Measures for Graphical Recognition. |
Type |
Conference Article |
| Year |
2009 |
Publication |
8th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
| Address |
La Rochelle; France; July 2009 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
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| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ JTV2009 |
Serial |
1442 |
| Permanent link to this record |
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| |
| Author |
Mathieu Nicolas Delalandre; Jean-Yves Ramel; Ernest Valveny; Muhammad Muzzamil Luqman |
| Title |
A Performance Characterization Algorithm for Symbol Localization |
Type |
Conference Article |
| Year |
2009 |
Publication |
8th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
3-11 |
| Keywords |
|
| Abstract |
In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more “reliable” and “open” solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols). |
| Address |
La Rochelle; July 2009 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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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 |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DRV2009 |
Serial |
1443 |
| Permanent link to this record |
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| |
| Author |
Muhammad Anwer Rao; David Vazquez; Antonio Lopez |
| Title |
Color Contribution to Part-Based Person Detection in Different Types of Scenarios |
Type |
Conference Article |
| Year |
2011 |
Publication |
14th International Conference on Computer Analysis of Images and Patterns |
Abbreviated Journal |
|
| Volume |
6855 |
Issue |
II |
Pages |
463-470 |
| Keywords |
Pedestrian Detection; Color |
| Abstract |
Camera-based person detection is of paramount interest due to its potential applications. The task is diffcult because the great variety of backgrounds (scenarios, illumination) in which persons are present, as well as their intra-class variability (pose, clothe, occlusion). In fact, the class person is one of the included in the popular PASCAL visual object classes (VOC) challenge. A breakthrough for this challenge, regarding person detection, is due to Felzenszwalb et al. These authors proposed a part-based detector that relies on histograms of oriented gradients (HOG) and latent support vector machines (LatSVM) to learn a model of the whole human body and its constitutive parts, as well as their relative position. Since the approach of Felzenszwalb et al. appeared new variants have been proposed, usually giving rise to more complex models. In this paper, we focus on an issue that has not attracted suficient interest up to now. In particular, we refer to the fact that HOG is usually computed from RGB color space, but other possibilities exist and deserve the corresponding investigation. In this paper we challenge RGB space with the opponent color space (OPP), which is inspired in the human vision system.We will compute the HOG on top of OPP, then we train and test the part-based human classifer by Felzenszwalb et al. using PASCAL VOC challenge protocols and person database. Our experiments demonstrate that OPP outperforms RGB. We also investigate possible differences among types of scenarios: indoor, urban and countryside. Interestingly, our experiments suggest that the beneficts of OPP with respect to RGB mainly come for indoor and countryside scenarios, those in which the human visual system was designed by evolution. |
| Address |
Seville, Spain |
| Corporate Author |
|
Thesis |
|
| Publisher |
Springer |
Place of Publication |
Berlin Heidelberg |
Editor |
P. Real, D. Diaz, H. Molina, A. Berciano, W. Kropatsch |
| Language |
English |
Summary Language |
english |
Original Title |
Color Contribution to Part-Based Person Detection in Different Types of Scenarios |
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
0302-9743 |
ISBN |
978-3-642-23677-8 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
CAIP |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ RVL2011b |
Serial |
1665 |
| Permanent link to this record |
| |
|
| |
| Author |
Farhan Riaz; Fernando Vilariño; Mario Dinis-Ribeiro; Miguel Coimbraln |
| Title |
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images |
Type |
Conference Article |
| Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
| Volume |
6669 |
Issue |
|
Pages |
709-716 |
| Keywords |
Endoscopy, Computer Assisted Diagnosis, Gradient. |
| Abstract |
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered. |
| Address |
Las Palmas de Gran Canaria. Spain |
| Corporate Author |
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Thesis |
|
| Publisher |
Springer |
Place of Publication |
Berlin |
Editor |
J. Vitria, J.M. Sanches, and M. Hernandez |
| Language |
|
Summary Language |
|
Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-3-642-21256-7 |
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
IbPRIA |
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ RVD2011; IAM @ iam @ RVD2011 |
Serial |
1726 |
| Permanent link to this record |
| |
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| |
| Author |
Michal Drozdzal; Santiago Segui; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria; Petia Radeva |
| Title |
Interactive Labeling of WCE Images |
Type |
Conference Article |
| Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
| Volume |
6669 |
Issue |
|
Pages |
143-150 |
| Keywords |
|
| Abstract |
A high quality labeled training set is necessary for any supervised machine learning algorithm. Labeling of the data can be a very expensive process, specially while dealing with data of high variability and complexity. A good example of such data are the videos from Wireless Capsule Endoscopy. Building a representative WCE data set means many videos to be labeled by an expert. The problem that occurs is the data diversity, in the space of the features, from different WCE studies. That means that when new data arrives it is highly probable that it will not be represented in the training set, thus getting a high probability of performing an error when applying machine learning schemes. In this paper an interactive labeling scheme that allows reducing expert effort in the labeling process is presented. It is shown that the number of human interventions can be significantly reduced. The proposed system allows the annotation of informative/non-informative frames of the WCE video with less than 100 clicks |
| Address |
Las Palmas de Gran Canaria. Spain |
| Corporate Author |
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Thesis |
|
| Publisher |
Springer |
Place of Publication |
|
Editor |
Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario |
| Language |
|
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 |
|
Expedition |
|
Conference |
IbPRIA |
| Notes |
MILAB;OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ DSM2011 |
Serial |
1734 |
| Permanent link to this record |
| |
|
| |
| Author |
Marçal Rusiñol; David Aldavert; Dimosthenis Karatzas; Ricardo Toledo; Josep Llados |
| Title |
Interactive Trademark Image Retrieval by Fusing Semantic and Visual Content. Advances in Information Retrieval |
Type |
Conference Article |
| Year |
2011 |
Publication |
33rd European Conference on Information Retrieval |
Abbreviated Journal |
|
| Volume |
6611 |
Issue |
|
Pages |
314-325 |
| Keywords |
|
| Abstract |
In this paper we propose an efficient queried-by-example retrieval system which is able to retrieve trademark images by similarity from patent and trademark offices' digital libraries. Logo images are described by both their semantic content, by means of the Vienna codes, and their visual contents, by using shape and color as visual cues. The trademark descriptors are then indexed by a locality-sensitive hashing data structure aiming to perform approximate k-NN search in high dimensional spaces in sub-linear time. The resulting ranked lists are combined by using the Condorcet method and a relevance feedback step helps to iteratively revise the query and refine the obtained results. The experiments demonstrate the effectiveness and efficiency of this system on a realistic and large dataset. |
| Address |
Dublin, Ireland |
| Corporate Author |
|
Thesis |
|
| Publisher |
Springer |
Place of Publication |
Berlin |
Editor |
P. Clough; C. Foley; C. Gurrin; G.J.F. Jones; W. Kraaij; H. Lee; V. Murdoch |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-3-642-20160-8 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
ECIR |
| Notes |
DAG; RV;ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RAK2011 |
Serial |
1737 |
| Permanent link to this record |
