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Author |
Meysam Madadi; Sergio Escalera; Jordi Gonzalez; Xavier Roca; Felipe Lumbreras |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Multi-part body segmentation based on depth maps for soft biometry analysis |
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Journal Article |
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Year |
2015 |
Publication |
Pattern Recognition Letters |
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PRL |
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Volume |
56 |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
14-21 |
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Keywords |
3D shape context; 3D point cloud alignment; Depth maps; Human body segmentation; Soft biometry analysis |
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Abstract |
This paper presents a novel method extracting biometric measures using depth sensors. Given a multi-part labeled training data, a new subject is aligned to the best model of the dataset, and soft biometrics such as lengths or circumference sizes of limbs and body are computed. The process is performed by training relevant pose clusters, defining a representative model, and fitting a 3D shape context descriptor within an iterative matching procedure. We show robust measures by applying orthogonal plates to body hull. We test our approach in a novel full-body RGB-Depth data set, showing accurate estimation of soft biometrics and better segmentation accuracy in comparison with random forest approach without requiring large training data. |
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HuPBA; ISE; ADAS; 600.076;600.049; 600.063; 600.054; 302.018;MILAB |
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Admin @ si @ MEG2015 |
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2588 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Dynamic Vs. Static Recognition of Facial Expressions |
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Book Chapter |
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Year |
2008 |
Publication |
Ambient Intelligence. European Conference |
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5355 |
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13–25 |
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Nuremberg (Germany) |
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Rabuñal |
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AMI |
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OR; MV |
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no |
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BCNPCL @ bcnpcl @ RaD2008 |
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1035 |
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Author |
Ernest Valveny; Miquel Ferrer |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Application of Graph Embedding to Solve Graph Matchin Problems |
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Conference Article |
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2008 |
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Colloque International Francophone sur l’Ecrit et le Document |
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13–18 |
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Rouen (France) |
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CIFED’08 |
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DAG |
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no |
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DAG @ dag @ VaF2008 |
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1063 |
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Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Evaluation of graph matching measures for documents retrieval |
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Conference Article |
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Year |
2009 |
Publication |
In proceedings of 8th IAPR International Workshop on Graphics Recognition |
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13–21 |
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Graph Matching; Graph retrieval; structural representation; Performance Evaluation |
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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 which include line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each grahp distance measure depends on the kind of data and the graph representation technique. |
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La Rochelle, France |
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0302-9743 |
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978-3-642-13727-3 |
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GREC |
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DAG |
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no |
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DAG @ dag @ JTV2009a |
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1230 |
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Author |
Francesco Ciompi; Oriol Pujol; E Fernandez-Nofrerias; J. Mauri; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Conditional Random Fields for image segmentation in Intravascular Ultrasound |
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Conference Article |
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2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved. |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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no |
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BCNPCL @ bcnpcl @ CPF2010 |
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1453 |
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Author |
Thierry Brouard; A. Delaplace; Muhammad Muzzamil Luqman; H. Cardot; Jean-Yves Ramel |
![goto web page url](img/www.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Design of Evolutionary Methods Applied to the Learning of Bayesian Nerwork Structures |
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Book Chapter |
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Year |
2010 |
Publication |
Bayesian Network |
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13-37 |
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Sciyo |
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Editor |
Ahmed Rebai |
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978-953-307-124-4 |
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no |
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Admin @ si @ BDL2010 |
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1461 |
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Author |
Jose Carlos Rubio; Joan Serrat; Antonio Lopez |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Video Co-segmentation |
Type |
Conference Article |
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Year |
2012 |
Publication |
11th Asian Conference on Computer Vision |
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7725 |
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13-24 |
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Segmentation of a single image is in general a highly underconstrained problem. A frequent approach to solve it is to somehow provide prior knowledge or constraints on how the objects of interest look like (in terms of their shape, size, color, location or structure). Image co-segmentation trades the need for such knowledge for something much easier to obtain, namely, additional images showing the object from other viewpoints. Now the segmentation problem is posed as one of differentiating the similar object regions in all the images from the more varying background. In this paper, for the first time, we extend this approach to video segmentation: given two or more video sequences showing the same object (or objects belonging to the same class) moving in a similar manner, we aim to outline its region in all the frames. In addition, the method works in an unsupervised manner, by learning to segment at testing time. We compare favorably with two state-of-the-art methods on video segmentation and report results on benchmark videos. |
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Daejeon, Korea |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-37443-2 |
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ACCV |
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ADAS |
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no |
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Admin @ si @ RSL2012d |
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2153 |
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Author |
Sergio Alloza; Flavio Escribano; Sergi Delgado; Ciprian Corneanu; Sergio Escalera |
![download PDF file pdf](img/file_PDF.gif)
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Title |
XBadges. Identifying and training soft skills with commercial video games Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system |
Type |
Conference Article |
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Year |
2017 |
Publication |
4th Congreso de la Sociedad Española para las Ciencias del Videojuego |
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Volume |
1957 |
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13-28 |
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Video Games; Soft Skills; Training; Skilling Development; Emotions; Cognitive Abilities; Flappy Bird; Pacman; Tetris |
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XBadges is a research project based on the hypothesis that commercial video games (nonserious games) can train soft skills. We measure persistence, patial reasoning and risk taking before and after subjects paticipate in controlled game playing sessions.
In addition, we have developed an automatic facial expression recognition system capable of inferring their emotions while playing, allowing us to study the role of emotions in soft skills acquisition. We have used Flappy Bird, Pacman and Tetris for assessing changes in persistence, risk taking and spatial reasoning respectively.
Results show how playing Tetris significantly improves spatial reasoning and how playing Pacman significantly improves prudence in certain areas of behavior. As for emotions, they reveal that being concentrated helps to improve performance and skills acquisition. Frustration is also shown as a key element. With the results obtained we are able to glimpse multiple applications in areas which need soft skills development. |
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Barcelona; June 2017 |
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COSECIVI; CEUR-WS |
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HUPBA; no menciona |
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no |
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Admin @ si @ AED2017 |
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3065 |
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Author |
Julio C. S. Jacques Junior; Agata Lapedriza; Cristina Palmero; Xavier Baro; Sergio Escalera |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Person Perception Biases Exposed: Revisiting the First Impressions Dataset |
Type |
Conference Article |
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Year |
2021 |
Publication |
IEEE Winter Conference on Applications of Computer Vision |
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13-21 |
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This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the original pairwise annotations, and reveal existing person perception biases associated to perceived attributes like gender, ethnicity, age and face attractiveness.
We show how person perception bias can influence data labelling of a subjective task, which has received little attention from the computer vision and machine learning communities by now. We further show that the mechanism used to convert pairwise annotations to continuous values may magnify the biases if no special treatment is considered. The findings of this study are relevant for the computer vision community that is still creating new datasets on subjective tasks, and using them for practical applications, ignoring these perceptual biases. |
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Virtual; January 2021 |
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WACV |
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HUPBA |
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no |
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Call Number |
Admin @ si @ JLP2021 |
Serial |
3533 |
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Permanent link to this record |
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Author |
Graham D. Finlayson; Javier Vazquez; Fufu Fang |
![download PDF file pdf](img/file_PDF.gif)
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Title |
The Discrete Cosine Maximum Ignorance Assumption |
Type |
Conference Article |
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Year |
2021 |
Publication |
29th Color and Imaging Conference |
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13-18 |
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Abstract |
the performance of colour correction algorithms are dependent on the reflectance sets used. Sometimes, when the testing reflectance set is changed the ranking of colour correction algorithms also changes. To remove dependence on dataset we can
make assumptions about the set of all possible reflectances. In the Maximum Ignorance with Positivity (MIP) assumption we assume that all reflectances with per wavelength values between 0 and 1 are equally likely. A weakness in the MIP is that it fails to take into account the correlation of reflectance functions between
wavelengths (many of the assumed reflectances are, in reality, not possible).
In this paper, we take the view that the maximum ignorance assumption has merit but, hitherto it has been calculated with respect to the wrong coordinate basis. Here, we propose the Discrete Cosine Maximum Ignorance assumption (DCMI), where
all reflectances that have coordinates between max and min bounds in the Discrete Cosine Basis coordinate system are equally likely.
Here, the correlation between wavelengths is encoded and this results in the set of all plausible reflectances ’looking like’ typical reflectances that occur in nature. This said the DCMI model is also a superset of all measured reflectance sets.
Experiments show that, in colour correction, adopting the DCMI results in similar colour correction performance as using a particular reflectance set. |
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Virtual; November 2021 |
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CIC |
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CIC |
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no |
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FVF2021 |
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3596 |
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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes |
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Conference Article |
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2008 |
Publication |
Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. |
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2 |
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12–17 |
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The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of error-correcting output codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Varna (Bulgaria) |
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IS’08 |
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MILAB; OR;HuPBA;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ EPL2008 |
Serial |
1042 |
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Permanent link to this record |
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Author |
Sergio Escalera; Oriol Pujol; Petia Radeva; Jordi Vitria; Maria Teresa Anguera |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Automatic Detection of Dominance and Expected Interest |
Type |
Journal Article |
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Year |
2010 |
Publication |
EURASIP Journal on Advances in Signal Processing |
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EURASIPJ |
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12 |
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Article ID 491819
Social Signal Processing is an emergent area of research that focuses on the analysis of social constructs. Dominance and interest are two of these social constructs. Dominance refers to the level of influence a person has in a conversation. Interest, when referred in terms of group interactions, can be defined as the degree of engagement that the members of a group collectively display during their interaction. In this paper, we argue that only using behavioral motion information, we are able to predict the interest of observers when looking at face-to-face interactions as well as the dominant people. First, we propose a simple set of movement-based features from body, face, and mouth activity in order to define a higher set of interaction indicators. The considered indicators are manually annotated by observers. Based on the opinions obtained, we define an automatic binary dominance detection problem and a multiclass interest quantification problem. Error-Correcting Output Codes framework is used to learn to rank the perceived observer's interest in face-to-face interactions meanwhile Adaboost is used to solve the dominant detection problem. The automatic system shows good correlation between the automatic categorization results and the manual ranking made by the observers in both dominance and interest detection problems. |
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1110-8657 |
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Notes |
OR;MILAB;HUPBA;MV |
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no |
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BCNPCL @ bcnpcl @ EPR2010d |
Serial |
1283 |
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Permanent link to this record |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
On the Use of External Face Features for Identity Verification |
Type |
Journal |
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Year |
2006 |
Publication |
Journal of Multimedia, 1(4): 11–20 |
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1 |
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4 |
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Face Verification, Computer Vision, Machine Learning |
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In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded. |
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BCNPCL @ bcnpcl @ LMV2006b |
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708 |
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Alicia Fornes; Sergio Escalera; Josep Llados; Gemma Sanchez |
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Symbol Recognition by Multi-class Blurred Shape Models |
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2007 |
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Seventh IAPR International Workshop on Graphics Recognition |
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11–13 |
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Curitiba (Brazil) |
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DAG; MILAB; HUPBA |
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BCNPCL @ bcnpcl @ FEL2007b |
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910 |
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Sergio Escalera; Oriol Pujol; Petia Radeva |
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Recoding Error-Correcting Output Codes |
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2009 |
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8th International Workshop of Multiple Classifier Systems |
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5519 |
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11–21 |
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One of the most widely applied techniques to deal with multi- class categorization problems is the pairwise voting procedure. Recently, this classical approach has been embedded in the Error-Correcting Output Codes framework (ECOC). This framework is based on a coding step, where a set of binary problems are learnt and coded in a matrix, and a decoding step, where a new sample is tested and classified according to a comparison with the positions of the coded matrix. In this paper, we present a novel approach to redefine without retraining, in a problem-dependent way, the one-versus-one coding matrix so that the new coded information increases the generalization capability of the system. Moreover, the final classification can be tuned with the inclusion of a weighting matrix in the decoding step. The approach has been validated over several UCI Machine Learning repository data sets and two real multi-class problems: traffic sign and face categorization. The results show that performance improvements are obtained when comparing the new approach to one of the best ECOC designs (one-versus-one). Furthermore, the novel methodology obtains at least the same performance than the one-versus-one ECOC design. |
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Reykjavik (Iceland) |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-02325-5 |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ EPR2009d |
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1190 |
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