| 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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Original Title |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
1063-6919 |
ISBN |
978-1-4244-3992-8 |
Medium |
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Expedition |
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Conference |
CVPR |
| Notes |
CAT;ISE |
Approved |
no |
| Call Number |
CAT @ cat @ GGW2009 |
Serial |
1197 |
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| Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat |
| Title |
Photometric Stereo through and Adapted Alternation Approach |
Type |
Conference Article |
| Year |
2008 |
Publication |
IEEE International Conference on Image Processing, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1500–1503 |
| Keywords |
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| Abstract |
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| Address |
San Diego; CA; USA |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ JSL2008d |
Serial |
1016 |
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| Author |
Jose Manuel Alvarez; Antonio Lopez |
| Title |
Photometric Invariance by Machine Learning |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Color in Computer Vision: Fundamentals and Applications |
Abbreviated Journal |
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| Volume |
7 |
Issue |
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Pages |
113-134 |
| Keywords |
road detection |
| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
iConcept Press Ltd |
Place of Publication |
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Editor |
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-0-470-89084-4 |
Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ AlL2012 |
Serial |
2186 |
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| Author |
Shida Beigpour; Joost Van de Weijer |
| Title |
Photo-Realistic Color Alteration for Architecture and Design |
Type |
Conference Article |
| Year |
2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
84–88 |
| Keywords |
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| Abstract |
As color is a strong stimuli we receive from the exterior world, choosing the right color can prove crucial in creating the desired architecture and desing. We propose a framework to apply a realistic color change on both objects and their illuminant lights for snapshots of architectural designs, in order to visualize and choose the right color before actully applying the change in the real world. The proposed framework is based on the laws of physics in order to accomplish realistic and physically plausible results. |
| Address |
Gjovik (Norway) |
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Conference |
CREATE |
| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ BeW2010 |
Serial |
1330 |
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| Author |
Josep Llados |
| Title |
Perspectives on the Analysis of Graphical Documents |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
Colloque International Francophone sur l´Ecrit et le Document (CIFED´06), 25–31 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Fribourg (Switzerland) |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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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 |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ Lla2006a |
Serial |
706 |
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| Author |
Svebor Karaman; Andrew Bagdanov; Lea Landucci; Gianpaolo D'Amico; Andrea Ferracani; Daniele Pezzatini; Alberto del Bimbo |
| Title |
Personalized multimedia content delivery on an interactive table by passive observation of museum visitors |
Type |
Journal Article |
| Year |
2016 |
Publication |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
| Volume |
75 |
Issue |
7 |
Pages |
3787-3811 |
| Keywords |
Computer vision; Video surveillance; Cultural heritage; Multimedia museum; Personalization; Natural interaction; Passive profiling |
| Abstract |
The amount of multimedia data collected in museum databases is growing fast, while the capacity of museums to display information to visitors is acutely limited by physical space. Museums must seek the perfect balance of information given on individual pieces in order to provide sufficient information to aid visitor understanding while maintaining sparse usage of the walls and guaranteeing high appreciation of the exhibit. Moreover, museums often target the interests of average visitors instead of the entire spectrum of different interests each individual visitor might have. Finally, visiting a museum should not be an experience contained in the physical space of the museum but a door opened onto a broader context of related artworks, authors, artistic trends, etc. In this paper we describe the MNEMOSYNE system that attempts to address these issues through a new multimedia museum experience. Based on passive observation, the system builds a profile of the artworks of interest for each visitor. These profiles of interest are then used to drive an interactive table that personalizes multimedia content delivery. The natural user interface on the interactive table uses the visitor’s profile, an ontology of museum content and a recommendation system to personalize exploration of multimedia content. At the end of their visit, the visitor can take home a personalized summary of their visit on a custom mobile application. In this article we describe in detail each component of our approach as well as the first field trials of our prototype system built and deployed at our permanent exhibition space at LeMurate (http://www.lemurate.comune.fi.it/lemurate/) in Florence together with the first results of the evaluation process during the official installation in the National Museum of Bargello (http://www.uffizi.firenze.it/musei/?m=bargello). |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer US |
Place of Publication |
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Editor |
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Summary Language |
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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 |
1380-7501 |
ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
LAMP; 601.240; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ KBL2016 |
Serial |
2520 |
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| Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
| Title |
Personalization and User Verification in Wearable Systems using Biometric Walking Patterns |
Type |
Journal Article |
| Year |
2012 |
Publication |
Personal and Ubiquitous Computing |
Abbreviated Journal |
PUC |
| Volume |
16 |
Issue |
5 |
Pages |
563-580 |
| Keywords |
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| Abstract |
In this article, a novel technique for user’s authentication and verification using gait as a biometric unobtrusive pattern is proposed. The method is based on a two stages pipeline. First, a general activity recognition classifier is personalized for an specific user using a small sample of her/his walking pattern. As a result, the system is much more selective with respect to the new walking pattern. A second stage verifies whether the user is an authorized one or not. This stage is defined as a one-class classification problem. In order to solve this problem, a four-layer architecture is built around the geometric concept of convex hull. This architecture allows to improve robustness to outliers, modeling non-convex shapes, and to take into account temporal coherence information. Two different scenarios are proposed as validation with two different wearable systems. First, a custom high-performance wearable system is built and used in a free environment. A second dataset is acquired from an Android-based commercial device in a ‘wild’ scenario with rough terrains, adversarial conditions, crowded places and obstacles. Results on both systems and datasets are very promising, reducing the verification error rates by an order of magnitude with respect to the state-of-the-art technologies. |
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| Publisher |
Springer-Verlag |
Place of Publication |
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Editor |
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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 Issue |
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Edition |
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| ISSN |
1617-4909 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ CPR2012 |
Serial |
1706 |
| Permanent link to this record |
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| Author |
Pau Rodriguez; Diego Velazquez; Guillem Cucurull; Josep M. Gonfaus; Xavier Roca; Seiichi Ozawa; Jordi Gonzalez |
| Title |
Personality Trait Analysis in Social Networks Based on Weakly Supervised Learning of Shared Images |
Type |
Journal Article |
| Year |
2020 |
Publication |
Applied Sciences |
Abbreviated Journal |
APPLSCI |
| Volume |
10 |
Issue |
22 |
Pages |
8170 |
| Keywords |
sentiment analysis, personality trait analysis; weakly-supervised learning; visual classification; OCEAN model; social networks |
| Abstract |
Social networks have attracted the attention of psychologists, as the behavior of users can be used to assess personality traits, and to detect sentiments and critical mental situations such as depression or suicidal tendencies. Recently, the increasing amount of image uploads to social networks has shifted the focus from text to image-based personality assessment. However, obtaining the ground-truth requires giving personality questionnaires to the users, making the process very costly and slow, and hindering research on large populations. In this paper, we demonstrate that it is possible to predict which images are most associated with each personality trait of the OCEAN personality model, without requiring ground-truth personality labels. Namely, we present a weakly supervised framework which shows that the personality scores obtained using specific images textually associated with particular personality traits are highly correlated with scores obtained using standard text-based personality questionnaires. We trained an OCEAN trait model based on Convolutional Neural Networks (CNNs), learned from 120K pictures posted with specific textual hashtags, to infer whether the personality scores from the images uploaded by users are consistent with those scores obtained from text. In order to validate our claims, we performed a personality test on a heterogeneous group of 280 human subjects, showing that our model successfully predicts which kind of image will match a person with a given level of a trait. Looking at the results, we obtained evidence that personality is not only correlated with text, but with image content too. Interestingly, different visual patterns emerged from those images most liked by persons with a particular personality trait: for instance, pictures most associated with high conscientiousness usually contained healthy food, while low conscientiousness pictures contained injuries, guns, and alcohol. These findings could pave the way to complement text-based personality questionnaires with image-based questions. |
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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 |
ISE; 600.119 |
Approved |
no |
| Call Number |
Admin @ si @ RVC2020b |
Serial |
3553 |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Person-specific face shape estimation under varying head pose from single snapshots |
Type |
Conference Article |
| Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3496–3499 |
| Keywords |
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| Abstract |
This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic optimizer. We conducted the experiments on a subset of Honda Video Database showing the feasibility and robustness of the proposed approach. For this reason, our approach could lend itself nicely to complex frameworks involving 3D face tracking and face gesture recognition in monocular videos. |
| Address |
Istanbul, Turkey |
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Series Issue |
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Edition |
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| ISSN |
1051-4651 |
ISBN |
978-1-4244-7542-1 |
Medium |
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Expedition |
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Conference |
ICPR |
| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DoR2010b |
Serial |
1361 |
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| Author |
G. Lisanti; I. Masi; Andrew Bagdanov; Alberto del Bimbo |
| Title |
Person Re-identification by Iterative Re-weighted Sparse Ranking |
Type |
Journal Article |
| Year |
2015 |
Publication |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
| Volume |
37 |
Issue |
8 |
Pages |
1629 - 1642 |
| Keywords |
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| Abstract |
In this paper we introduce a method for person re-identification based on discriminative, sparse basis expansions of targets in terms of a labeled gallery of known individuals. We propose an iterative extension to sparse discriminative classifiers capable of ranking many candidate targets. The approach makes use of soft- and hard- re-weighting to redistribute energy among the most relevant contributing elements and to ensure that the best candidates are ranked at each iteration. Our approach also leverages a novel visual descriptor which we show to be discriminative while remaining robust to pose and illumination variations. An extensive comparative evaluation is given demonstrating that our approach achieves state-of-the-art performance on single- and multi-shot person re-identification scenarios on the VIPeR, i-LIDS, ETHZ, and CAVIAR4REID datasets. The combination of our descriptor and iterative sparse basis expansion improves state-of-the-art rank-1 performance by six percentage points on VIPeR and by 20 on CAVIAR4REID compared to other methods with a single gallery image per person. With multiple gallery and probe images per person our approach improves by 17 percentage points the state-of-the-art on i-LIDS and by 72 on CAVIAR4REID at rank-1. The approach is also quite efficient, capable of single-shot person re-identification over galleries containing hundreds of individuals at about 30 re-identifications per second. |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
0162-8828 |
ISBN |
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| Notes |
LAMP; 601.240; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ LMB2015 |
Serial |
2557 |
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| Author |
Julio C. S. Jacques Junior; Agata Lapedriza; Cristina Palmero; Xavier Baro; Sergio Escalera |
| Title |
Person Perception Biases Exposed: Revisiting the First Impressions Dataset |
Type |
Conference Article |
| Year |
2021 |
Publication |
IEEE Winter Conference on Applications of Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
13-21 |
| Keywords |
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| Abstract |
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. |
| Address |
Virtual; January 2021 |
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Conference |
WACV |
| Notes |
HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ JLP2021 |
Serial |
3533 |
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| Author |
Oriol Rodriguez-Leon; Eduard Fernandez-Nofrerias; Josefina Mauri; Vicente del Valle; Debora Gil; A.Barrios; E.Garcia; Petia Radeva |
| Title |
Perfusion ratio: A new tool to objectively assess microcirculation perfusion after primary Percutaneous Coronary Intervention |
Type |
Conference Article |
| Year |
2006 |
Publication |
World Congress of Cardiology |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
859 |
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Place of Publication |
Barcelona (Spain) |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RFM2006c |
Serial |
1643 |
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| Author |
Jaume Rodriguez; S. Yacoub; Gemma Sanchez; Josep Llados |
| Title |
Performance Evaluation, Comparison and Combination of Commercial Handwriting Recognition Engines |
Type |
Report |
| Year |
2006 |
Publication |
CVC Technical Report #93 |
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Pages |
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CVC (UAB) |
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DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RYS2006 |
Serial |
657 |
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| Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
| Title |
Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview |
Type |
Report |
| Year |
2008 |
Publication |
CVC Technical Report #117 |
Abbreviated Journal |
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Pages |
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| Address |
Bellaterra (Spain) |
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DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DVL2008a |
Serial |
946 |
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| Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
| Title |
Performance Evaluation of Symbol Recognition and Spotting Systems |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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Issue |
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Pages |
497–505 |
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| Address |
Nara (Japan) |
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DAS |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DVL2008b |
Serial |
1060 |
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