| Records |
| Author |
Mohamed Ali Souibgui; Y.Kessentini; Alicia Fornes |
Title  |
A conditional GAN based approach for distorted camera captured documents recovery |
Type |
Conference Article |
| Year |
2020 |
Publication |
4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence |
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 |
Virtual; December 2020 |
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Place of Publication |
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Summary Language |
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Original Title |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
MedPRAI |
| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ SKF2020 |
Serial |
3450 |
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| Author |
R. Bertrand; Oriol Ramos Terrades; P. Gomez-Kramer; P. Franco; Jean-Marc Ogier |
| Title |
A Conditional Random Field model for font forgery detection |
Type |
Conference Article |
| Year |
2015 |
Publication |
13th International Conference on Document Analysis and Recognition ICDAR2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
576 - 580 |
| Keywords |
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| Abstract |
Nowadays, document forgery is becoming a real issue. A large amount of documents that contain critical information as payment slips, invoices or contracts, are constantly subject to fraudster manipulation because of the lack of security regarding this kind of document. Previously, a system to detect fraudulent documents based on its intrinsic features has been presented. It was especially designed to retrieve copy-move forgery and imperfection due to fraudster manipulation. However, when a set of characters is not present in the original document, copy-move forgery is not feasible. Hence, the fraudster will use a text toolbox to add or modify information in the document by imitating the font or he will cut and paste characters from another document where the font properties are similar. This often results in font type errors. Thus, a clue to detect document forgery consists of finding characters, words or sentences in a document with font properties different from their surroundings. To this end, we present in this paper an automatic forgery detection method based on document font features. Using the Conditional Random Field a measurement of probability that a character belongs to a specific font is made by comparing the character font features to a knowledge database. Then, the character is classified as a genuine or a fake one by comparing its probability to belong to a certain font type with those of the neighboring characters. |
| Address |
Nancy; France; August 2015 |
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Conference |
ICDAR |
| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ BRG2015 |
Serial |
2725 |
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| Author |
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate |
| Title |
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth |
Type |
Conference Article |
| Year |
2011 |
Publication |
IEEE International Conference on Computer Vision – Workshops |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
2042-2049 |
| Keywords |
IEEE International Conference on Computer Vision – Workshops |
| Abstract |
Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems. |
| Address |
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Thesis |
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| Publisher |
IEEE |
Place of Publication |
Barcelona (Spain) |
Editor |
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| Language |
English |
Summary Language |
English |
Original Title |
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Expedition |
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Conference |
ICCVW |
| Notes |
IAM; ADAS |
Approved |
no |
| Call Number |
IAM @ iam @ MGH2011 |
Serial |
1682 |
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| Author |
Muhammad Muzzamil Luqman; Thierry Brouard; Jean-Yves Ramel; Josep Llados |
| Title |
A Content Spotting System For Line Drawing Graphic Document Images |
Type |
Conference Article |
| Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
20 |
Issue |
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Pages |
3420–3423 |
| Keywords |
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| Abstract |
We present a content spotting system for line drawing graphic document images. The proposed system is sufficiently domain independent and takes the keyword based information retrieval for graphic documents, one step forward, to Query By Example (QBE) and focused retrieval. During offline learning mode: we vectorize the documents in the repository, represent them by attributed relational graphs, extract regions of interest (ROIs) from them, convert each ROI to a fuzzy structural signature, cluster similar signatures to form ROI classes and build an index for the repository. During online querying mode: a Bayesian network classifier recognizes the ROIs in the query image and the corresponding documents are fetched by looking up in the repository index. Experimental results are presented for synthetic images of architectural and electronic documents. |
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Place of Publication |
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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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| Area |
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Expedition |
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Conference |
ICPR |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LBR2010b |
Serial |
1460 |
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| Author |
X. Binefa; Xavier Roca; Jordi Vitria |
| Title |
A Contrast Approach to Depth from Focus. |
Type |
Conference Article |
| Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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| Address |
Barcelona |
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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 |
OR;ISE;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BRV1997 |
Serial |
63 |
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| Author |
X. Binefa; Jordi Vitria |
| Title |
A contrast based focusing criterium. |
Type |
Conference Article |
| Year |
1996 |
Publication |
IEEE International Conference on Pattern Recognition. Vol. A, pp. 805–809 |
Abbreviated Journal |
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Issue |
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Pages |
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Conference |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BiV1996 |
Serial |
79 |
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| Author |
Shifeng Zhang; Xiaobo Wang; Ajian Liu; Chenxu Zhao; Jun Wan; Sergio Escalera; Hailin Shi; Zezheng Wang; Stan Z. Li |
| Title |
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing |
Type |
Conference Article |
| Year |
2019 |
Publication |
32nd 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 |
919-928 |
| Keywords |
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| Abstract |
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, existing face anti-spoofing benchmarks have limited number of subjects (≤170) and modalities (≤2), which hinder the further development of the academic community. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and visual modalities. Specifically, it consists of 1,000 subjects with 21,000 videos and each sample has 3 modalities (i.e., RGB, Depth and IR). We also provide a measurement set, evaluation protocol and training/validation/testing subsets, developing a new benchmark for face anti-spoofing. Moreover, we present a new multi-modal fusion method as baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modal. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability. The dataset is available at https://sites.google.com/qq.com/chalearnfacespoofingattackdete/. |
| Address |
California; June 2019 |
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Original Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
CVPR |
| Notes |
HuPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ ZWL2019 |
Serial |
3331 |
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| Author |
Patricia Suarez; Dario Carpio; Angel Sappa |
| Title |
A Deep Learning Based Approach for Synthesizing Realistic Depth Maps |
Type |
Conference Article |
| Year |
2023 |
Publication |
22nd International Conference on Image Analysis and Processing |
Abbreviated Journal |
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| Volume |
14234 |
Issue |
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Pages |
369–380 |
| Keywords |
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| Abstract |
This paper presents a novel cycle generative adversarial network (CycleGAN) architecture for synthesizing high-quality depth maps from a given monocular image. The proposed architecture uses multiple loss functions, including cycle consistency, contrastive, identity, and least square losses, to enable the generation of realistic and high-fidelity depth maps. The proposed approach addresses this challenge by synthesizing depth maps from RGB images without requiring paired training data. Comparisons with several state-of-the-art approaches are provided showing the proposed approach overcome other approaches both in terms of quantitative metrics and visual quality. |
| Address |
Udine; Italia; Setember 2023 |
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Place of Publication |
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LNCS |
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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 |
ICIAP |
| Notes |
MSIAU |
Approved |
no |
| Call Number |
Admin @ si @ SCS2023a |
Serial |
3968 |
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| Author |
Jon Almazan; Alicia Fornes; Ernest Valveny |
| Title |
A Deformable HOG-based Shape Descriptor |
Type |
Conference Article |
| Year |
2013 |
Publication |
12th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1022-1026 |
| Keywords |
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| Abstract |
In this paper we deal with the problem of recognizing handwritten shapes. We present a new deformable feature extraction method that adapts to the shape to be described, dealing in this way with the variability introduced in the handwriting domain. It consists in a selection of the regions that best define the shape to be described, followed by the computation of histograms of oriented gradients-based features over these points. Our results significantly outperform other descriptors in the literature for the task of hand-drawn shape recognition and handwritten word retrieval |
| Address |
Washington; USA; August 2013 |
| Corporate Author |
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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 Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1520-5363 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
ICDAR |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ AFV2013 |
Serial |
2326 |
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| Author |
Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva |
| Title |
A Deterministic-Statistic Adventitia Detection in IVUS Images |
Type |
Conference Article |
| Year |
2005 |
Publication |
ESC Congress |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
Electron microscopy; Unbending; 2D crystal; Interpolation; Approximation |
| Abstract |
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles. |
| Address |
Stockholm; Sweden; September 2005 |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
,Sweden (EU) |
Editor |
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| 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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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
ESC |
| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RMF2005a |
Serial |
1523 |
| Permanent link to this record |
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| Author |
Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva |
| Title |
A Deterministic-Statistic Adventitia Detection in IVUS Images |
Type |
Conference Article |
| Year |
2005 |
Publication |
3rd International workshop on International Workshop on Functional Imaging and Modeling of the Heart |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
65-74 |
| Keywords |
Electron microscopy; Unbending; 2D crystal; Interpolation; Approximation |
| Abstract |
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles. |
| Address |
Barcelona; June 2005 |
| Corporate Author |
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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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Edition |
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Conference |
FIMH |
| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RMF2005 |
Serial |
1524 |
| Permanent link to this record |
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| Author |
Nicola Bellotto; Eric Sommerlade; Ben Benfold; Charles Bibby; I. Reid; Daniel Roth; Luc Van Gool; Carles Fernandez; Jordi Gonzalez |
| Title |
A Distributed Camera System for Multi-Resolution Surveillance |
Type |
Conference Article |
| Year |
2009 |
Publication |
3rd ACM/IEEE International Conference on Distributed Smart Cameras |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
10.1109/ICDSC.2009.5289413 |
| Abstract |
We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database. Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table. We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance. |
| Address |
Como, Italy |
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Thesis |
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Original Title |
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Edition |
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Conference |
ICDSC |
| Notes |
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Approved |
no |
| Call Number |
ISE @ ise @ BSB2009 |
Serial |
1205 |
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| Author |
Mohammad Rouhani; Angel Sappa |
| Title |
A Fast accurate Implicit Polynomial Fitting Approach |
Type |
Conference Article |
| Year |
2010 |
Publication |
17th IEEE International Conference on Image Processing |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1429–1432 |
| Keywords |
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| Abstract |
This paper presents a novel hybrid approach that combines state of the art fitting algorithms: algebraic-based and geometric-based. It consists of two steps; first, the 3L algorithm is used as an initialization and then, the obtained result, is improved through a geometric approach. The adopted geometric approach is based on a distance estimation that avoids costly search for the real orthogonal distance. Experimental results are presented as well as quantitative comparisons. |
| Address |
Hong-Kong |
| Corporate Author |
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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 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 |
1522-4880 |
ISBN |
978-1-4244-7992-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICIP |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ RoS2010b |
Serial |
1359 |
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| Author |
Andreas Fischer; Ching Y. Suen; Volkmar Frinken; Kaspar Riesen; Horst Bunke |
| Title |
A Fast Matching Algorithm for Graph-Based Handwriting Recognition |
Type |
Conference Article |
| Year |
2013 |
Publication |
9th IAPR – TC15 Workshop on Graph-based Representation in Pattern Recognition |
Abbreviated Journal |
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| Volume |
7877 |
Issue |
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Pages |
194-203 |
| Keywords |
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| Abstract |
The recognition of unconstrained handwriting images is usually based on vectorial representation and statistical classification. Despite their high representational power, graphs are rarely used in this field due to a lack of efficient graph-based recognition methods. Recently, graph similarity features have been proposed to bridge the gap between structural representation and statistical classification by means of vector space embedding. This approach has shown a high performance in terms of accuracy but had shortcomings in terms of computational speed. The time complexity of the Hungarian algorithm that is used to approximate the edit distance between two handwriting graphs is demanding for a real-world scenario. In this paper, we propose a faster graph matching algorithm which is derived from the Hausdorff distance. On the historical Parzival database it is demonstrated that the proposed method achieves a speedup factor of 12.9 without significant loss in recognition accuracy. |
| Address |
Vienna; Austria; May 2013 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
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 Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-38220-8 |
Medium |
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| Area |
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Expedition |
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Conference |
GBR |
| Notes |
DAG; 600.045; 605.203 |
Approved |
no |
| Call Number |
Admin @ si @ FSF2013 |
Serial |
2294 |
| Permanent link to this record |
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| Author |
Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados |
| Title |
A Fast System for the Retrieval of Ornamental Letter Image |
Type |
Conference Article |
| Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
51–54 |
| Keywords |
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| Abstract |
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| Address |
Curitiba (Brasil) |
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Thesis |
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Place of Publication |
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Summary Language |
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Original Title |
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Series Issue |
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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 |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DOL2007 |
Serial |
841 |
| Permanent link to this record |
