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Author |
Yainuvis Socarras; Sebastian Ramos; David Vazquez; Antonio Lopez; Theo Gevers |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Adapting Pedestrian Detection from Synthetic to Far Infrared Images |
Type |
Conference Article |
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Year |
2013 |
Publication |
ICCV Workshop on Visual Domain Adaptation and Dataset Bias |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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Keywords |
Domain Adaptation; Far Infrared; Pedestrian Detection |
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Abstract |
We present different techniques to adapt a pedestrian classifier trained with synthetic images and the corresponding automatically generated annotations to operate with far infrared (FIR) images. The information contained in this kind of images allow us to develop a robust pedestrian detector invariant to extreme illumination changes. |
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Sydney; Australia; December 2013 |
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Sydney, Australy |
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English |
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ICCVW-VisDA |
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Notes |
ADAS; 600.054; 600.055; 600.057; 601.217;ISE |
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no |
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Call Number |
ADAS @ adas @ SRV2013 |
Serial |
2334 |
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Author |
V.C.Kieu; Alicia Fornes; M. Visani; N.Journet ; Anjan Dutta |
![download PDF file pdf](img/file_PDF.gif)
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Title |
The ICDAR/GREC 2013 Music Scores Competition on Staff Removal |
Type |
Conference Article |
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Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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Keywords |
Competition; Music scores; Staff Removal |
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Abstract |
The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we propose a staff removal competition where we simulate old music scores. Thus, we have created a new set of images, which contain noise and 3D distortions. This paper describes the distortion methods, metrics, the participant’s methods and the obtained results. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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Notes |
DAG; 600.045; 600.061 |
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no |
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Call Number |
Admin @ si @ KFV2013 |
Serial |
2337 |
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Author |
M. Visani; V.C.Kieu; Alicia Fornes; N.Journet |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
The ICDAR 2013 Music Scores Competition: Staff Removal |
Type |
Conference Article |
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Year |
2013 |
Publication |
12th International Conference on Document Analysis and Recognition |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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Pages |
1439-1443 |
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Abstract |
The first competition on music scores that was organized at ICDAR in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario: old music scores. For this purpose, we have generated a new set of images using two kinds of degradations: local noise and 3D distortions. This paper describes the dataset, distortion methods, evaluation metrics, the participant's methods and the obtained results. |
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Washington; USA; August 2013 |
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1520-5363 |
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ICDAR |
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Notes |
DAG; 600.045; 600.061 |
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no |
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Call Number |
Admin @ si @ VKF2013 |
Serial |
2338 |
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Author |
Ruth Aylett; Ginevra Castellano; Bogdan Raducanu; Ana Paiva; Marc Hanheide |
![goto web page url](img/www.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Long-term socially perceptive and interactive robot companions: challenges and future perspectives |
Type |
Conference Article |
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Year |
2011 |
Publication |
13th International Conference on Multimodal Interaction |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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Pages |
323-326 |
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Keywords |
human-robot interaction, multimodal interaction, social robotics |
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Abstract |
This paper gives a brief overview of the challenges for multi-model perception and generation applied to robot companions located in human social environments. It reviews the current position in both perception and generation and the immediate technical challenges and goes on to consider the extra issues raised by embodiment and social context. Finally, it briefly discusses the impact of systems that must function continually over months rather than just for a few hours. |
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Alicante |
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ACM |
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978-1-4503-0641-6 |
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ICMI |
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Notes |
OR;MV |
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no |
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Call Number |
Admin @ si @ ACR2011 |
Serial |
1888 |
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Author |
Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu |
![download PDF file pdf](img/file_PDF.gif)
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Title |
LSDA Solution Schemes for Modelless 3D Head Pose Estimation |
Type |
Conference Article |
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Year |
2012 |
Publication |
IEEE Workshop on the Applications of Computer Vision |
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Pages |
393-398 |
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Address |
Breckenridge; USA; |
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WACV |
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OR;MV |
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no |
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Admin @ si @ DBR2012 |
Serial |
1889 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Appearance-based Face Recognition Using A Supervised Manifold Learning Framework |
Type |
Conference Article |
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Year |
2012 |
Publication |
IEEE Workshop on the Applications of Computer Vision |
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465-470 |
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Abstract |
Many natural image sets, depicting objects whose appearance is changing due to motion, pose or light variations, can be considered samples of a low-dimension nonlinear manifold embedded in the high-dimensional observation space (the space of all possible images). The main contribution of our work is represented by a Supervised Laplacian Eigemaps (S-LE) algorithm, which exploits the class label information for mapping the original data in the embedded space. Our proposed approach benefits from two important properties: i) it is discriminative, and ii) it adaptively selects the neighbors of a sample without using any predefined neighborhood size. Experiments were conducted on four face databases and the results demonstrate that the proposed algorithm significantly outperforms many linear and non-linear embedding techniques. Although we've focused on the face recognition problem, the proposed approach could also be extended to other category of objects characterized by large variance in their appearance. |
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Breckenridge; CO; USA |
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IEEE Xplore |
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1550-5790 |
ISBN |
978-1-4673-0233-3 |
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WACV |
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Notes |
OR;MV |
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no |
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Call Number |
Admin @ si @ RaD2012d |
Serial |
1890 |
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Author |
Antonio Hernandez; Carlos Primo; Sergio Escalera |
![goto web page (via DOI) doi](img/doi.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Automatic user interaction correction via Multi-label Graph cuts |
Type |
Conference Article |
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Year |
2011 |
Publication |
In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV |
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1276-1281 |
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Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. |
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978-1-4673-0062-9 |
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HICV |
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Notes |
MILAB; HuPBA |
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no |
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Call Number |
Admin @ si @ HPE2011 |
Serial |
1892 |
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Permanent link to this record |
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Author |
Miguel Reyes; Gabriel Dominguez; Sergio Escalera |
![goto web page url](img/www.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Feature Weighting in Dynamic Time Warping for Gesture Recognition in Depth Data |
Type |
Conference Article |
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Year |
2011 |
Publication |
1st IEEE Workshop on Consumer Depth Cameras for Computer Vision |
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1182-1188 |
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We present a gesture recognition approach for depth video data based on a novel Feature Weighting approach within the Dynamic Time Warping framework. Depth features from human joints are compared through video sequences using Dynamic Time Warping, and weights are assigned to features based on inter-intra class gesture variability. Feature Weighting in Dynamic Time Warping is then applied for recognizing begin-end of gestures in data sequences. The obtained results recognizing several gestures in depth data show high performance compared with classical Dynamic Time Warping approach. |
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978-1-4673-0062-9 |
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CDC4CV |
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Notes |
HuPBA;MILAB |
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no |
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Call Number |
Admin @ si @ RDE2011 |
Serial |
1893 |
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Permanent link to this record |
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Author |
Jorge Bernal; David Vazquez (eds) |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Computer vision Trends and Challenges |
Type |
Book Whole |
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Year |
2013 |
Publication |
Computer vision Trends and Challenges |
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Keywords |
CVCRD; Computer Vision |
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Abstract |
This book contains the papers presented at the Eighth CVC Workshop on Computer Vision Trends and Challenges (CVCR&D'2013). The workshop was held at the Computer Vision Center (Universitat Autònoma de Barcelona), the October 25th, 2013. The CVC workshops provide an excellent opportunity for young researchers and project engineers to share new ideas and knowledge about the progress of their work, and also, to discuss about challenges and future perspectives. In addition, the workshop is the welcome event for new people that recently have joined the institute.
The program of CVCR&D is organized in a single-track single-day workshop. It comprises several sessions dedicated to specific topics. For each session, a doctor working on the topic introduces the general research lines. The PhD students expose their specific research. A poster session will be held for open questions. Session topics cover the current research lines and development projects of the CVC: Medical Imaging, Medical Imaging, Color & Texture Analysis, Object Recognition, Image Sequence Evaluation, Advanced Driver Assistance Systems, Machine Vision, Document Analysis, Pattern Recognition and Applications. We want to thank all paper authors and Program Committee members. Their contribution shows that the CVC has a dynamic, active, and promising scientific community.
We hope you all enjoy this Eighth workshop and we are looking forward to meeting you and new people next year in the Ninth CVCR&D. |
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Jorge Bernal; David Vazquez |
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978-84-940902-2-6 |
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no |
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ADAS @ adas @ BeV2013 |
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2339 |
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Author |
Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria |
![download PDF file pdf](img/file_PDF.gif)
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Title |
An Integrated Approach to Contextual Face Detection |
Type |
Conference Article |
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Year |
2012 |
Publication |
1st International Conference on Pattern Recognition Applications and Methods |
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143-150 |
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Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple content- and context-based detectors in a discriminative way. Moreover, we develop an integrated scoring procedure that measures the ’faceness’ of each hypothesis and is used to discriminate the detection results. Our approach detects a higher rate of faces while minimizing the number of false detections, giving an average increase of more than 10% in average precision when comparing it to state-of-the art face detectors |
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Vilamoura, Algarve, Portugal |
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Springer |
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ICPRAM |
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MILAB; OR;MV |
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no |
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Admin @ si @ SDR2012 |
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1895 |
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Permanent link to this record |
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Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
Type |
Patent |
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Year |
2011 |
Publication |
US 61/592,786 |
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Given Imaging |
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US Patent Office |
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MILAB; OR;MV |
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no |
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Admin @ si @ DSR2011 |
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1897 |
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Author |
Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Myocardial torsion estimation with Tagged-MRI in the OsiriX platform |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISBI Workshop on Open Source Medical Image Analysis software |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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Myocardial torsion (MT) plays a crucial role in the assessment of the functionality of the
left ventricle. For this purpose, the IAM group at the CVC has developed the Harmonic Phase Flow (HPF) plugin for the Osirix DICOM platform . We have validated its funcionalty on sequences acquired using different protocols and including healthy and pathological cases. Results show similar torsion trends for SPAMM acquisitions, with pathological cases introducing expected deviations from the ground truth. Finally, we provide the plugin free of charge at http://iam.cvc.uab.es |
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Barcelona, Spain |
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IEEE |
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Wiro Niessen (Erasmus MC) and Marc Modat (UCL) |
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ISBI |
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IAM |
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no |
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IAM @ iam @ ACS2012 |
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1900 |
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Author |
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate |
![download PDF file pdf](img/file_PDF.gif)
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality |
Type |
Conference Article |
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Year |
2013 |
Publication |
ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
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624-631 |
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Abstract |
Assessing Optical Flow (OF) quality is essential for its further use in reliable decision support systems. The absence of ground truth in such situations leads to the computation of OF Confidence Measures (CM) obtained from either input or output data. A fair comparison across the capabilities of the different CM for bounding OF error is required in order to choose the best OF-CM pair for discarding points where OF computation is not reliable. This paper presents a statistical probabilistic framework for assessing the quality of a given CM. Our quality measure is given in terms of the percentage of pixels whose OF error bound can not be determined by CM values. We also provide statistical tools for the computation of CM values that ensures a given accuracy of the flow field. |
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Address |
Sydney; Australia; December 2013 |
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CVTT:E2M |
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IAM; ADAS; 600.044; 600.057; 601.145 |
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Admin @ si @ MGH2013b |
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2351 |
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Author |
Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Classification of Administrative Document Images by Logo Identification |
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Conference Article |
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2013 |
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10th IAPR International Workshop on Graphics Recognition |
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This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.056; 600.045; 605.203 |
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Admin @ si @ |
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2348 |
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Author |
Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Spotting Graphical Symbols in Camera-Acquired Documents in Real Time |
Type |
Conference Article |
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Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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In this paper we present a system devoted to spot graphical symbols in camera-acquired document images. The system is based on the extraction and further matching of ORB compact local features computed over interest key-points. Then, the FLANN indexing framework based on approximate nearest neighbor search allows to efficiently match local descriptors between the captured scene and the graphical models. Finally, the RANSAC algorithm is used in order to compute the homography between the spotted symbol and its appearance in the document image. The proposed approach is efficient and is able to work in real time. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.045; 600.055; 600.061; 602.101 |
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Call Number |
Admin @ si @ RKL2013 |
Serial |
2347 |
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