| Records |
| Author |
David Masip; Michael S. North ; Alexander Todorov; Daniel N. Osherson |
| Title |
Automated Prediction of Preferences Using Facial Expressions |
Type |
Journal Article |
| Year |
2014 |
Publication  |
PloS one |
Abbreviated Journal |
Plos |
| Volume |
9 |
Issue |
2 |
Pages |
e87434 |
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| Abstract |
We introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person's spontaneous facial expressions. To illustrate the challenges, we introduce two simple algorithms designed to predict observers’ preferences between images (e.g., of celebrities) based on covert videos of the observers’ faces. The two algorithms are almost as accurate as human judges performing the same task but nonetheless far from perfect. Our approach is to locate facial landmarks, then predict preference on the basis of their temporal dynamics. The database contains 768 videos involving four different kinds of preferences. We make it publically available. |
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OR;MV |
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no |
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Admin @ si @ MNT2014 |
Serial |
2453 |
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| Author |
C. Alejandro Parraga; Arash Akbarinia |
| Title |
NICE: A Computational Solution to Close the Gap from Colour Perception to Colour Categorization |
Type |
Journal Article |
| Year |
2016 |
Publication |
PLoS One |
Abbreviated Journal |
Plos |
| Volume |
11 |
Issue |
3 |
Pages |
e0149538 |
| Keywords |
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| Abstract |
The segmentation of visible electromagnetic radiation into chromatic categories by the human visual system has been extensively studied from a perceptual point of view, resulting in several colour appearance models. However, there is currently a void when it comes to relate these results to the physiological mechanisms that are known to shape the pre-cortical and cortical visual pathway. This work intends to begin to fill this void by proposing a new physiologically plausible model of colour categorization based on Neural Isoresponsive Colour Ellipsoids (NICE) in the cone-contrast space defined by the main directions of the visual signals entering the visual cortex. The model was adjusted to fit psychophysical measures that concentrate on the categorical boundaries and are consistent with the ellipsoidal isoresponse surfaces of visual cortical neurons. By revealing the shape of such categorical colour regions, our measures allow for a more precise and parsimonious description, connecting well-known early visual processing mechanisms to the less understood phenomenon of colour categorization. To test the feasibility of our method we applied it to exemplary images and a popular ground-truth chart obtaining labelling results that are better than those of current state-of-the-art algorithms. |
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NEUROBIT; 600.068 |
Approved |
no |
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Admin @ si @ PaA2016a |
Serial |
2747 |
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| Author |
Debora Gil; Carles Sanchez; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell |
| Title |
Segmentation of Distal Airways using Structural Analysis |
Type |
Journal Article |
| Year |
2019 |
Publication |
PloS one |
Abbreviated Journal |
Plos |
| Volume |
14 |
Issue |
12 |
Pages |
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| Abstract |
Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution. |
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IAM; 600.139; 600.145 |
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no |
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Admin @ si @ GSB2019 |
Serial |
3357 |
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| Author |
Penny Tarling; Mauricio Cantor; Albert Clapes; Sergio Escalera |
| Title |
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images |
Type |
Journal Article |
| Year |
2022 |
Publication |
PloS One |
Abbreviated Journal |
Plos |
| Volume |
17 |
Issue |
5 |
Pages |
e0267759 |
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| Abstract |
Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data collection cheaper, wide-reaching and less intrusive but created a need to process and analyse this data efficiently. Counting animals from such data is challenging, particularly when densely packed in noisy images. Attempting this manually is slow and expensive, while traditional computer vision methods are limited in their generalisability. Deep learning is the state-of-the-art method for many computer vision tasks, but it has yet to be properly explored to count animals. To this end, we employ deep learning, with a density-based regression approach, to count fish in low-resolution sonar images. We introduce a large dataset of sonar videos, deployed to record wild Lebranche mullet schools (Mugil liza), with a subset of 500 labelled images. We utilise abundant unlabelled data in a self-supervised task to improve the supervised counting task. For the first time in this context, by introducing uncertainty quantification, we improve model training and provide an accompanying measure of prediction uncertainty for more informed biological decision-making. Finally, we demonstrate the generalisability of our proposed counting framework through testing it on a recent benchmark dataset of high-resolution annotated underwater images from varying habitats (DeepFish). From experiments on both contrasting datasets, we demonstrate our network outperforms the few other deep learning models implemented for solving this task. By providing an open-source framework along with training data, our study puts forth an efficient deep learning template for crowd counting aquatic animals thereby contributing effective methods to assess natural populations from the ever-increasing visual data. |
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Public Library of Science |
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HuPBA |
Approved |
no |
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Admin @ si @ TCC2022 |
Serial |
3743 |
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| Author |
Matthias S. Keil; Agata Lapedriza; David Masip; Jordi Vitria |
| Title |
Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine |
Type |
Journal |
| Year |
2008 |
Publication |
PLoS ONE 3(7):e2590, DOI:10.1371/journal.pone.0002590 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ KLM2008 |
Serial |
978 |
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| Author |
V. Valev; Petia Radeva |
| Title |
ECG Recognition by Non-Reducible Descriptors. |
Type |
Miscellaneous |
| Year |
1995 |
Publication |
Portuguese Conference on Pattern Recognition. |
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Lisbon, Portugal |
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| Notes |
MILAB |
Approved |
no |
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BCNPCL @ bcnpcl @ VaR1995a |
Serial |
139 |
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| Author |
Francisco Jose Perales; Yuhua Luo; Juan J. Villanueva |
| Title |
Un metodo Automatico de Rotoscopia Sin Marcas para el Estudio del Movimiento Humano Basado en un modelo Biomecanico. |
Type |
Conference Article |
| Year |
1991 |
Publication |
Primer Congreso Español de Informatica Grafica |
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Pages |
53-65 |
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Madrid |
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no |
| Call Number |
ISE @ ise @ PLV1991 |
Serial |
266 |
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| Author |
F. Javier Sanchez; Jordi Vitria; Enric Marti |
| Title |
Transformaciones Morfológicas de Polígonos Isotéticos |
Type |
Conference Article |
| Year |
1991 |
Publication |
Primer Congreso Español de Informática Gráfica. |
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| Notes |
OR;IAM;MV |
Approved |
no |
| Call Number |
IAM @ iam @ SVM1991 |
Serial |
1648 |
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| Author |
Enric Marti; Jordi Regincos; Jaime Lopez-Krahe |
| Title |
Interpretación de Dibujos Lineales a Mano Alzada Representando Escenas Tridimensionales |
Type |
Conference Article |
| Year |
1991 |
Publication |
Primer Congreso Español de Informática. |
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| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ MRL1991 |
Serial |
1610 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework |
Type |
Conference Article |
| Year |
2000 |
Publication |
Proc. 15th Int Pattern Recognition Conf |
Abbreviated Journal |
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| Volume |
2 |
Issue |
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Pages |
239-242 |
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| Abstract |
Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm. |
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ISBN |
0-7695-0750-6 |
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| Notes |
DAG;IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ VAM2000 |
Serial |
1656 |
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| Author |
Jaume Garcia; Francesc Carreras; Sandra Pujades; Debora Gil |
| Title |
Regional motion patterns for the Left Ventricle function assessment |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proc. 19th Int. Conf. Pattern Recognition ICPR 2008 |
Abbreviated Journal |
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Issue |
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Pages |
1-4 |
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Regional scores (e.g. strain, perfusion) of the Left Ventricle (LV) functionality are playing an increasing role in the diagnosis of cardiac diseases. A main limitation is the lack of normality models for complementary scores oriented to assessment of the LV integrity. This paper introduces an original framework based on a parametrization of the LV domain, which allows comparison across subjects of local physiological measures of different nature. We compute regional normality patterns in a feature space characterizing the LV function. We show the consistency of the model for the regional motion on healthy and hypokinetic pathological cases |
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IAM |
Approved |
no |
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IAM @ iam @ GCP2008 |
Serial |
1510 |
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| Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
| Title |
Texture-based Polyp Detection in Colonoscopy |
Type |
Journal Article |
| Year |
2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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800 |
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| Notes |
MV;SIAI |
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no |
| Call Number |
fernando @ fernando @ |
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2428 |
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| Author |
Jaume Garcia; Debora Gil; A.Bajo; M.J.Ledesma-Carbayo; C.SantaMarta |
| Title |
Influence of the temporal resolution on the quantification of displacement fields in cardiac magnetic resonance tagged images |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proc. Computers in Cardiology |
Abbreviated Journal |
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35 |
Issue |
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Pages |
785-788 |
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| Abstract |
It is difficult to acquire tagged cardiac MR images with a high temporal and spatial resolution using clinical MR scanners. However, if such images are used for quantifying scores based on motion, it is essential a resolution as high as possible. This paper explores the influence of the temporal resolution of a tagged series on the quantification of myocardial dynamic parameters. To such purpose we have designed a SPAMM (Spatial Modulation of Magnetization) sequence allowing acquisition of sequences at simple and double temporal resolution. Sequences are processed to compute myocardial motion by an automatic technique based on the tracking of the harmonic phase of tagged images (the Harmonic Phase Flow, HPF). The results have been compared to manual tracking of myocardial tags. The error in displacement fields for double resolution sequences reduces 17%. |
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Editor |
Alan Murray |
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IAM |
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no |
| Call Number |
IAM @ iam @ GGB2008 |
Serial |
1508 |
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| Author |
Jaume Garcia; Debora Gil; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva |
| Title |
Characterization of ventricular torsion in healthy subjects using Gabor filters and a variational framework |
Type |
Conference Article |
| Year |
2006 |
Publication |
Proc. Computers in Cardiology |
Abbreviated Journal |
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Issue |
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Pages |
877-880 |
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| Abstract |
In this work, we present a fully automated method for tissue deformation estimation in tagged magnetic resonance images (TMRI). Gabor filter banks, tuned independently for each left ventricle level, provide optimally filtered complex images which phase remains constant along the cardiac cycle. This fact can be thought as the brightness constancy condition required by classical optical flow (OF) methods. Pairs of these filtered sequences, together with a variational formulation are used in a second step to obtain dense continuous deformation maps that we call Harmonic Phase Flow. This method has been used to determine reference values of ventricular torsion (VT) in a set of 8 healthy volunteers. The results encourage the use of VT as a useful parameter for ventricular function assessment in clinical routine. |
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IAM;MILAB |
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no |
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IAM @ iam @ GGB2006a |
Serial |
1509 |
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| Author |
Jaume Garcia; David Rotger; Francesc Carreras; R.Leta; Petia Radeva |
| Title |
Contrast echography segmentation and tracking by trained deformable models |
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Conference Article |
| Year |
2003 |
Publication |
Proc. Computers in Cardiology |
Abbreviated Journal |
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30 |
Issue |
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Pages |
173-176 |
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| Abstract |
The objective of this work is to segment the human left ventricle myocardium (LVM) in contrast echocardiography imaging and thus track it along a cardiac cycle in order to extract quantitative data about heart function. Ultrasound images are hard to work with due to their speckle appearance. To overcome this we report the combination of active contour models (ACM) or snakes and active shape models (ASM). The ability of ACM in giving closed and smooth curves in addition to the power of the ASM in producing shapes similar to the ones learned, evoke to a robust algorithm. Meanwhile the snake is attracted towards image main features, ASM acts as a correction factor. The algorithm was tested independently on 180 frames and satisfying results were obtained: in 95% the maximum difference between automatic and experts segmentation was less than 12 pixels. |
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Centre de Visió per Computador – Dept. Informàtica, UAB Edifici O – Campus UAB, 08193 Bellater |
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0276-6547 |
ISBN |
0-7803-8170-X |
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IAM;MILAB |
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no |
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IAM @ iam @ GRC2003 |
Serial |
1512 |
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