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| Author | Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner | ||||
| Title | Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation | Type | Conference Article | ||
| Year | 2011 | Publication | In Proceedings of the Sixth International Workshop on Digital Technologies in Cartographic Heritage | Abbreviated Journal | |
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| Area | Expedition | Conference | CartoHerit | ||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ RRL2011b | Serial  |
1978 | ||
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| Author | Jean-Marc Ogier; Wenyin Liu; Josep Llados (eds) | ||||
| Title | Graphics Recognition: Achievements, Challenges, and Evolution | Type | Book Whole | ||
| Year | 2010 | Publication | 8th International Workshop GREC 2009. | Abbreviated Journal | |
| Volume | 6020 | Issue | Pages | ||
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| Abstract | |||||
| Address | La Rochelle | ||||
| Corporate Author | Thesis | ||||
| Publisher | Springer Link | Place of Publication | Editor | Jean-Marc Ogier; Wenyin Liu; Josep Llados | |
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-3-642-13727-3 | Medium | ||
| Area | Expedition | Conference | GREC | ||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ OLL2010 | Serial |
1976 | ||
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| Author | Mohammad Rouhani; Angel Sappa | ||||
| Title | Implicit Polynomial Representation through a Fast Fitting Error Estimation | Type | Journal Article | ||
| Year | 2012 | Publication | IEEE Transactions on Image Processing | Abbreviated Journal | TIP |
| Volume | 21 | Issue | 4 | Pages | 2089-2098 |
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| Abstract | Impact Factor
This paper presents a simple distance estimation for implicit polynomial fitting. It is computed as the height of a simplex built between the point and the surface (i.e., a triangle in 2-D or a tetrahedron in 3-D), which is used as a coarse but reliable estimation of the orthogonal distance. The proposed distance can be described as a function of the coefficients of the implicit polynomial. Moreover, it is differentiable and has a smooth behavior . Hence, it can be used in any gradient-based optimization. In this paper, its use in a Levenberg-Marquardt framework is shown, which is particularly devoted for nonlinear least squares problems. The proposed estimation is a generalization of the gradient-based distance estimation, which is widely used in the literature. Experimental results, both in 2-D and 3-D data sets, are provided. Comparisons with state-of-the-art techniques are presented, showing the advantages of the proposed approach. |
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| ISSN | 1057-7149 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ RoS2012b; ADAS @ adas @ | Serial |
1937 | ||
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| Author | Monica Piñol | ||||
| Title | Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning | Type | Report | ||
| Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 162 | Issue | Pages | ||
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| Address | Bellaterra (Barcelona) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Piñ2010 | Serial |
1936 | ||
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| Author | Fahad Shahbaz Khan; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell; Antonio Lopez | ||||
| Title | Color Attributes for Object Detection | Type | Conference Article | ||
| Year | 2012 | Publication | 25th IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 3306-3313 | ||
| Keywords | pedestrian detection | ||||
| Abstract | State-of-the-art object detectors typically use shape information as a low level feature representation to capture the local structure of an object. This paper shows that early fusion of shape and color, as is popular in image classification,
leads to a significant drop in performance for object detection. Moreover, such approaches also yields suboptimal results for object categories with varying importance of color and shape. In this paper we propose the use of color attributes as an explicit color representation for object detection. Color attributes are compact, computationally efficient, and when combined with traditional shape features provide state-ofthe- art results for object detection. Our method is tested on the PASCAL VOC 2007 and 2009 datasets and results clearly show that our method improves over state-of-the-art techniques despite its simplicity. We also introduce a new dataset consisting of cartoon character images in which color plays a pivotal role. On this dataset, our approach yields a significant gain of 14% in mean AP over conventional state-of-the-art methods. |
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| Address | Providence; Rhode Island; USA; | ||||
| Corporate Author | Thesis | ||||
| Publisher | IEEE Xplore | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1063-6919 | ISBN | 978-1-4673-1226-4 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | ADAS; CIC; | Approved | no | ||
| Call Number | Admin @ si @ KRW2012 | Serial |
1935 | ||
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| Author | Maria del Camp Davesa | ||||
| Title | Human action categorization in image sequences | Type | Report | ||
| Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 169 | Issue | Pages | ||
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| Address | Bellaterra (Spain) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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| Notes | CiC;CIC | Approved | no | ||
| Call Number | Admin @ si @ Dav2011 | Serial |
1934 | ||
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| Author | Yainuvis Socarras | ||||
| Title | Image segmentation for improving pedestrian detection | Type | Report | ||
| Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 167 | Issue | Pages | ||
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| Address | Bellaterra (Spain) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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| Notes | ADAS; | Approved | no | ||
| Call Number | Admin @ si @ Soc2011 | Serial |
1933 | ||
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| Author | Alejandro Gonzalez Alzate | ||||
| Title | Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences | Type | Report | ||
| Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 166 | Issue | Pages | ||
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| Address | Bellaterra (Spain) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Gon2011 | Serial |
1932 | ||
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| Author | Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil | ||||
| Title | Myocardial torsion estimation with Tagged-MRI in the OsiriX platform | Type | Conference Article | ||
| Year | 2012 | Publication | ISBI Workshop on Open Source Medical Image Analysis software | Abbreviated Journal | |
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| Abstract | 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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| Address | Barcelona, Spain | ||||
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| Publisher | IEEE | Place of Publication | Editor | Wiro Niessen (Erasmus MC) and Marc Modat (UCL) | |
| Language | Summary Language | Original Title | |||
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| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | ISBI | ||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ ACS2012 | Serial |
1900 | ||
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| Author | Patricia Marquez; Debora Gil ; Aura Hernandez-Sabate | ||||
| Title | Error Analysis for Lucas-Kanade Based Schemes | Type | Conference Article | ||
| Year | 2012 | Publication | 9th International Conference on Image Analysis and Recognition | Abbreviated Journal | |
| Volume | 7324 | Issue | I | Pages | 184-191 |
| Keywords | Optical flow, Confidence measure, Lucas-Kanade, Cardiac Magnetic Resonance | ||||
| Abstract | Optical flow is a valuable tool for motion analysis in medical imaging sequences. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in medical sequences. This paper presents an error analysis of Lucas-Kanade schemes in terms of intrinsic design errors and numerical stability of the algorithm. Our analysis provides a confidence measure that is naturally correlated to the accuracy of the flow field. Our experiments show the higher predictive value of our confidence measure compared to existing measures. | ||||
| Address | Aveiro, Portugal | ||||
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| Publisher | Springer-Verlag Berlin Heidelberg | Place of Publication | Editor | ||
| Language | english | Summary Language | Original Title | ||
| Series Editor | Campilho, Aurélio and Kamel, Mohamed | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS |
| Series Volume | Series Issue | Edition | |||
| ISSN | 0302-9743 | ISBN | 978-3-642-31294-6 | Medium | |
| Area | Expedition | Conference | ICIAR | ||
| Notes | IAM | Approved | no | ||
| Call Number | IAM @ iam @ MGH2012a | Serial |
1899 | ||
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| Author | Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil | ||||
| Title | An illumination model of the trachea appearance in videobronchoscopy images | Type | Book Chapter | ||
| Year | 2012 | Publication | Image Analysis and Recognition | Abbreviated Journal | LNCS |
| Volume | 7325 | Issue | Pages | 313-320 | |
| Keywords | Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation | ||||
| Abstract | Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution. |
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| Address | Aveiro, Portugal | ||||
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| Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
| Series Volume | Series Issue | Edition | |||
| ISSN | 0302-9743 | ISBN | 978-3-642-31297-7 | Medium | |
| Area | 800 | Expedition | Conference | ICIAR | |
| Notes | MV;IAM | Approved | no | ||
| Call Number | IAM @ iam @ SSR2012 | Serial |
1898 | ||
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| Author | Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual | ||||
| Title | System and Method for Displaying Motility Events in an in Vivo Image Stream | Type | Patent | ||
| Year | 2011 | Publication | US 61/592,786 | Abbreviated Journal | |
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| Address | Given Imaging | ||||
| Corporate Author | US Patent Office | Thesis | |||
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| Notes | MILAB; OR;MV | Approved | no | ||
| Call Number | Admin @ si @ DSR2011 | Serial |
1897 | ||
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| Author | Michal Drozdzal; Petia Radeva; Santiago Segui; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria | ||||
| Title | System and Method for Improving a Discriminative Model | Type | Patent | ||
| Year | 2012 | Publication | US 61/450,886 | Abbreviated Journal | |
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| Address | Given Imaging | ||||
| Corporate Author | US Patent Office | Thesis | |||
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| Area | Expedition | Conference | |||
| Notes | MILAB; OR;MV | Approved | no | ||
| Call Number | Admin @ si @ DRS2012a | Serial |
1896 | ||
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| Author | Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria | ||||
| Title | An Integrated Approach to Contextual Face Detection | Type | Conference Article | ||
| Year | 2012 | Publication | 1st International Conference on Pattern Recognition Applications and Methods | Abbreviated Journal | |
| Volume | Issue | Pages | 143-150 | ||
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| Abstract | 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 | ||||
| Address | Vilamoura, Algarve, Portugal | ||||
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| Publisher | Springer | Place of Publication | Editor | ||
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| Area | Expedition | Conference | ICPRAM | ||
| Notes | MILAB; OR;MV | Approved | no | ||
| Call Number | Admin @ si @ SDR2012 | Serial |
1895 | ||
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| Author | Miguel Reyes; Gabriel Dominguez; Sergio Escalera | ||||
| Title | Feature Weighting in Dynamic Time Warping for Gesture Recognition in Depth Data | Type | Conference Article | ||
| Year | 2011 | Publication | 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision | Abbreviated Journal | |
| Volume | Issue | Pages | 1182-1188 | ||
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| Abstract | 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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| ISSN | ISBN | 978-1-4673-0062-9 | Medium | ||
| Area | Expedition | Conference | CDC4CV | ||
| Notes | HuPBA;MILAB | Approved | no | ||
| Call Number | Admin @ si @ RDE2011 | Serial |
1893 | ||
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