| Records |
| Author |
Arjan Gijsenij; Theo Gevers; Joost Van de Weijer |
| Title |
Physics-based Edge Evaluation for Improved Color Constancy |
Type |
Conference Article |
| Year |
2009 |
Publication  |
22nd IEEE Conference on Computer Vision and Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
581 – 588 |
| Keywords |
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| Abstract |
Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation. |
| Address |
Miami, USA |
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Edition |
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| ISSN |
1063-6919 |
ISBN |
978-1-4244-3992-8 |
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Conference |
CVPR |
| Notes |
CAT;ISE |
Approved |
no |
| Call Number |
CAT @ cat @ GGW2009 |
Serial |
1197 |
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| Author |
Neus Salvatella; E Fernandez-Nofrerias; Francesco Ciompi; Oriol Rodriguez-Leor; Xavier Carrillo; R. Hemetsberger; Petia Radeva; J. Mauri; A. Bayes |
| Title |
Canvis de volum a la arteria radial despres de la administracio de dos tractaments vasodilatadors. Avaluacio mitjançant ecografia intravascular |
Type |
Conference Article |
| Year |
2010 |
Publication |
22nd Congres Societat Catalana de Cardiologia, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
179 |
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| Address |
Barcelona (Spain) |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SFC2010a |
Serial |
1367 |
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| Author |
Oriol Rodriguez-Leor; R. Hemetsberger; Francesco Ciompi; E Fernandez-Nofrerias; Angel Serrano; M. Bernet; Petia Radeva; J. Mauri; A. Bayes |
| Title |
Caracteritzacio automatica de la placa mitjançant analisis del espectre de radiofreqüencia en estudi de ecografia intracoronaria: resultat de la fusio de dades invivo i exvivo |
Type |
Conference Article |
| Year |
2010 |
Publication |
22nd Congres Societat Catalana de Cardiologia, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
131 |
| Keywords |
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| Abstract |
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| Address |
Barcelona (Spain) |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RHC2010 |
Serial |
1368 |
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| Author |
S.Grau; Anna Puig; Sergio Escalera; Maria Salamo; Oscar Amoros |
| Title |
Efficient complementary viewpoint selection in volume rendering |
Type |
Conference Article |
| Year |
2013 |
Publication |
21st WSCG Conference on Computer Graphics, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
Dual camera; Visualization; Interactive Interfaces; Dynamic Time Warping. |
| Abstract |
A major goal of visualization is to appropriately express knowledge of scientific data. Generally, gathering visual information contained in the volume data often requires a lot of expertise from the final user to setup the parameters of the visualization. One way of alleviating this problem is to provide the position of inner structures with different viewpoint locations to enhance the perception and construction of the mental image. To this end, traditional illustrations use two or three different views of the regions of interest. Similarly, with the aim of assisting the users to easily place a good viewpoint location, this paper proposes an automatic and interactive method that locates different complementary viewpoints from a reference camera in volume datasets. Specifically, the proposed method combines the quantity of information each camera provides for each structure and the shape similarity of the projections of the remaining viewpoints based on Dynamic Time Warping. The selected complementary viewpoints allow a better understanding of the focused structure in several applications. Thus, the user interactively receives feedback based on several viewpoints that helps him to understand the visual information. A live-user evaluation on different data sets show a good convergence to useful complementary viewpoints. |
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Place of Publication |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-808694374-9 |
Medium |
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Expedition |
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Conference |
WSCG |
| Notes |
HuPBA; 600.046;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ GPE2013a |
Serial |
2255 |
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| Author |
Esmitt Ramirez; Carles Sanchez; Debora Gil |
| Title |
Localizing Pulmonary Lesions Using Fuzzy Deep Learning |
Type |
Conference Article |
| Year |
2019 |
Publication |
21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
290-294 |
| Keywords |
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| Abstract |
The usage of medical images is part of the clinical daily in several healthcare centers around the world. Particularly, Computer Tomography (CT) images are an important key in the early detection of suspicious lung lesions. The CT image exploration allows the detection of lung lesions before any invasive procedure (e.g. bronchoscopy, biopsy). The effective localization of lesions is performed using different image processing and computer vision techniques. Lately, the usage of deep learning models into medical imaging from detection to prediction shown that is a powerful tool for Computer-aided software. In this paper, we present an approach to localize pulmonary lung lesion using fuzzy deep learning. Our approach uses a simple convolutional neural network based using the LIDC-IDRI dataset. Each image is divided into patches associated a probability vector (fuzzy) according their belonging to anatomical structures on a CT. We showcase our approach as part of a full CAD system to exploration, planning, guiding and detection of pulmonary lesions. |
| Address |
Timisoara; Rumania; September 2019 |
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Conference |
SYNASC |
| Notes |
IAM; 600.145; 600.140; 601.337; 601.323 |
Approved |
no |
| Call Number |
Admin @ si @ RSG2019 |
Serial |
3531 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
3D Face Tracking using Appearance Registration and Robust Iterative Closest Point Algorithm |
Type |
Book Chapter |
| Year |
2006 |
Publication |
21st International Symposium on Computer and Information Sciences (ISCIS´06), LNCS 4263: 532–541 |
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| Address |
Istanbul (Turkey) |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ DoS2006d |
Serial |
688 |
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| Author |
Asma Bensalah; Antonio Parziale; Giuseppe De Gregorio; Angelo Marcelli; Alicia Fornes; Josep Llados |
| Title |
I Can’t Believe It’s Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation |
Type |
Conference Article |
| Year |
2023 |
Publication |
21st International Graphonomics Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
136–148 |
| Keywords |
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| Abstract |
During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detection and diagnosis in the health field. Unfortunately, most real case problems still suffer a scarcity of data, which makes difficult the use of deep learning-based models. To alleviate this problem, some works resort to synthetic data generation. Lately, more works are directed towards guided data synthetic generation, a generation that uses the domain and data knowledge to generate realistic data that can be useful to train deep learning models. In this work, we combine the domain knowledge about the Alzheimer’s disease for handwriting and use it for a more guided data generation. Concretely, we have explored the use of in-air movements for synthetic data generation. |
| Address |
Evora; Portugal; October 2023 |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
IGS |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ BPG2023 |
Serial |
3838 |
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| Author |
Pau Rodriguez; Jordi Gonzalez; Josep M. Gonfaus; Xavier Roca |
| Title |
Towards Visual Personality Questionnaires based on Deep Learning and Social Media |
Type |
Conference Article |
| Year |
2019 |
Publication |
21st International Conference on Social Influence and Social Psychology |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Abstract |
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| Address |
April 2019; Tokio; Japan |
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Edition |
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Expedition |
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Conference |
ICSISP |
| Notes |
ISE; 600.119 |
Approved |
no |
| Call Number |
Admin @ si @ RGG2020 |
Serial |
3554 |
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| Author |
Miguel Angel Bautista; Antonio Hernandez; Victor Ponce; Xavier Perez Sala; Xavier Baro; Oriol Pujol; Cecilio Angulo; Sergio Escalera |
| Title |
Probability-based Dynamic TimeWarping for Gesture Recognition on RGB-D data |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition International Workshop on Depth Image Analysis |
Abbreviated Journal |
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| Volume |
7854 |
Issue |
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Pages |
126-135 |
| Keywords |
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| Abstract |
Dynamic Time Warping (DTW) is commonly used in gesture recognition tasks in order to tackle the temporal length variability of gestures. In the DTW framework, a set of gesture patterns are compared one by one to a maybe infinite test sequence, and a query gesture category is recognized if a warping cost below a certain threshold is found within the test sequence. Nevertheless, either taking one single sample per gesture category or a set of isolated samples may not encode the variability of such gesture category. In this paper, a probability-based DTW for gesture recognition is proposed. Different samples of the same gesture pattern obtained from RGB-Depth data are used to build a Gaussian-based probabilistic model of the gesture. Finally, the cost of DTW has been adapted accordingly to the new model. The proposed approach is tested in a challenging scenario, showing better performance of the probability-based DTW in comparison to state-of-the-art approaches for gesture recognition on RGB-D data. |
| Address |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-40302-6 |
Medium |
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Expedition |
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Conference |
WDIA |
| Notes |
MILAB; OR;HuPBA;MV |
Approved |
no |
| Call Number |
Admin @ si @ BHP2012 |
Serial |
2120 |
| Permanent link to this record |
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| Author |
Miguel Reyes; Albert Clapes; Luis Felipe Mejia; Jose Ramirez; Juan R Revilla; Sergio Escalera |
| Title |
Posture Analysis and Range of Movement Estimation using Depth Maps |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition International Workshop on Depth Image Analysis |
Abbreviated Journal |
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| Volume |
7854 |
Issue |
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Pages |
97-105 |
| Keywords |
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| Abstract |
World Health Organization estimates that 80% of the world population is affected of back pain during his life. Current practices to analyze back problems are expensive, subjective, and invasive. In this work, we propose a novel tool for posture and range of movement estimation based on the analysis of 3D information from depth maps. Given a set of keypoints defined by the user, RGB and depth data are aligned, depth surface is reconstructed, keypoints are matching using a novel point-to-point fitting procedure, and accurate measurements about posture, spinal curvature, and range of movement are computed. The system shows high precision and reliable measurements, being useful for posture reeducation purposes to prevent musculoskeletal disorders, such as back pain, as well as tracking the posture evolution of patients in rehabilitation treatments. |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-40302-6 |
Medium |
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Expedition |
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Conference |
WDIA |
| Notes |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ RCM2012 |
Serial |
2121 |
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| Author |
David Vazquez; Antonio Lopez; Daniel Ponsa |
| Title |
Unsupervised Domain Adaptation of Virtual and Real Worlds for Pedestrian Detection |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3492 - 3495 |
| Keywords |
Pedestrian Detection; Domain Adaptation; Virtual worlds |
| Abstract |
Vision-based object detectors are crucial for different applications. They rely on learnt object models. Ideally, we would like to deploy our vision system in the scenario where it must operate, and lead it to self-learn how to distinguish the objects of interest, i.e., without human intervention. However, the learning of each object model requires labelled samples collected through a tiresome manual process. For instance, we are interested in exploring the self-training of a pedestrian detector for driver assistance systems. Our first approach to avoid manual labelling consisted in the use of samples coming from realistic computer graphics, so that their labels are automatically available [12]. This would make possible the desired self-training of our pedestrian detector. However, as we showed in [14], between virtual and real worlds it may be a dataset shift. In order to overcome it, we propose the use of unsupervised domain adaptation techniques that avoid human intervention during the adaptation process. In particular, this paper explores the use of the transductive SVM (T-SVM) learning algorithm in order to adapt virtual and real worlds for pedestrian detection (Fig. 1). |
| Address |
Tsukuba Science City, Japan |
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| Publisher |
IEEE |
Place of Publication |
Tsukuba Science City, JAPAN |
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Edition |
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| ISSN |
1051-4651 |
ISBN |
978-1-4673-2216-4 |
Medium |
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Conference |
ICPR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ VLP2012 |
Serial |
1981 |
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| Author |
Jose Carlos Rubio; Joan Serrat; Antonio Lopez; N. Paragios |
| Title |
Image Contextual Representation and Matching through Hierarchies and Higher Order Graphs |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
2664 - 2667 |
| Keywords |
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| Abstract |
We present a region matching algorithm which establishes correspondences between regions from two segmented images. An abstract graph-based representation conceals the image in a hierarchical graph, exploiting the scene properties at two levels. First, the similarity and spatial consistency of the image semantic objects is encoded in a graph of commute times. Second, the cluttered regions of the semantic objects are represented with a shape descriptor. Many-to-many matching of regions is specially challenging due to the instability of the segmentation under slight image changes, and we explicitly handle it through high order potentials. We demonstrate the matching approach applied to images of world famous buildings, captured under different conditions, showing the robustness of our method to large variations in illumination and viewpoint. |
| Address |
Tsukuba Science City, Japan |
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Edition |
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| ISSN |
1051-4651 |
ISBN |
978-1-4673-2216-4 |
Medium |
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Expedition |
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Conference |
ICPR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RSL2012a; |
Serial |
2032 |
| Permanent link to this record |
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| Author |
German Ros; Jesus Martinez del Rincon; Gines Garcia-Mateos |
| Title |
Articulated Particle Filter for Hand Tracking |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3581 - 3585 |
| Keywords |
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| Abstract |
This paper proposes a new version of Particle Filter, called Articulated Particle Filter – ArPF -, which has been specifically designed for an efficient sampling of hierarchical spaces, generated by articulated objects. Our approach decomposes the articulated motion into layers for efficiency purposes, making use of a careful modeling of the diffusion noise along with its propagation through the articulations. This produces an increase of accuracy and prevent for divergences. The algorithm is tested on hand tracking due to its complex hierarchical articulated nature. With this purpose, a new dataset generation tool for quantitative evaluation is also presented in this paper. |
| Address |
Tsukuba Science City, Japan |
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1051-4651 |
ISBN |
978-1-4673-2216-4 |
Medium |
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Conference |
ICPR |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ RMG2012 |
Serial |
2031 |
| Permanent link to this record |
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| Author |
Francisco Cruz; Oriol Ramos Terrades |
| Title |
Document segmentation using relative location features |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1562-1565 |
| Keywords |
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| Abstract |
In this paper we evaluate the use of Relative Location Features (RLF) on a historical document segmentation task, and compare the quality of the results obtained on structured and unstructured documents using RLF and not using them. We prove that using these features improve the final segmentation on documents with a strong structure, while their application on unstructured documents does not show significant improvement. Although this paper is not focused on segmenting unstructured documents, results obtained on a benchmark dataset are equal or even overcome previous results of similar works. |
| Address |
Tsukuba Science City, Japan |
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Conference |
ICPR |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ CrR2012 |
Serial |
2051 |
| Permanent link to this record |
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| Author |
Volkmar Frinken; Francisco Zamora; Salvador España; Maria Jose Castro; Andreas Fischer; Horst Bunke |
| Title |
Long-Short Term Memory Neural Networks Language Modeling for Handwriting Recognition |
Type |
Conference Article |
| Year |
2012 |
Publication |
21st International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
701-704 |
| Keywords |
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| Abstract |
Unconstrained handwritten text recognition systems maximize the combination of two separate probability scores. The first one is the observation probability that indicates how well the returned word sequence matches the input image. The second score is the probability that reflects how likely a word sequence is according to a language model. Current state-of-the-art recognition systems use statistical language models in form of bigram word probabilities. This paper proposes to model the target language by means of a recurrent neural network with long-short term memory cells. Because the network is recurrent, the considered context is not limited to a fixed size especially as the memory cells are designed to deal with long-term dependencies. In a set of experiments conducted on the IAM off-line database we show the superiority of the proposed language model over statistical n-gram models. |
| Address |
Tsukuba Science City, Japan |
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Place of Publication |
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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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| ISSN |
1051-4651 |
ISBN |
978-1-4673-2216-4 |
Medium |
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Expedition |
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Conference |
ICPR |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ FZE2012 |
Serial |
2052 |
| Permanent link to this record |
