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Author | Sergio Escalera; Alicia Fornes; O. Pujol; Petia Radeva; Gemma Sanchez; Josep Llados | ||||
Title | Blurred Shape Model for Binary and Grey-level Symbol Recognition | Type | Journal Article | ||
Year | 2009 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 30 | Issue | 15 | Pages | 1424–1433 |
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Abstract | Many symbol recognition problems require the use of robust descriptors in order to obtain rich information of the data. However, the research of a good descriptor is still an open issue due to the high variability of symbols appearance. Rotation, partial occlusions, elastic deformations, intra-class and inter-class variations, or high variability among symbols due to different writing styles, are just a few problems. In this paper, we introduce a symbol shape description to deal with the changes in appearance that these types of symbols suffer. The shape of the symbol is aligned based on principal components to make the recognition invariant to rotation and reflection. Then, we present the Blurred Shape Model descriptor (BSM), where new features encode the probability of appearance of each pixel that outlines the symbols shape. Moreover, we include the new descriptor in a system to deal with multi-class symbol categorization problems. Adaboost is used to train the binary classifiers, learning the BSM features that better split symbol classes. Then, the binary problems are embedded in an Error-Correcting Output Codes framework (ECOC) to deal with the multi-class case. The methodology is evaluated on different synthetic and real data sets. State-of-the-art descriptors and classifiers are compared, showing the robustness and better performance of the present scheme to classify symbols with high variability of appearance. | ||||
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Notes | HuPBA; DAG; MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EFP2009a | Serial | 1180 | ||
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Author | Sergio Escalera; Alicia Fornes; Oriol Pujol; Josep Llados; Petia Radeva | ||||
Title | Multi-class Binary Object Categorization using Blurred Shape Models | Type | Conference Article | ||
Year | 2007 | Publication | Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern | Abbreviated Journal | |
Volume | 4756 | Issue | Pages | 773–782 | |
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Series Editor | Series Title | Abbreviated Series Title | LCNS | ||
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ISSN | ISBN | 978-3-540-76724-4 | Medium | ||
Area | Expedition | Conference | CIARP | ||
Notes | MILAB; DAG;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EFP2007 | Serial | 911 | ||
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Author | Sergio Escalera; Xavier Baro; Jordi Vitria; Petia Radeva | ||||
Title | Text Detection in Urban Scenes (video sample) | Type | Conference Article | ||
Year | 2009 | Publication | 12th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
Volume | 202 | Issue | Pages | 35–44 | |
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Abstract | Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are just a few problems. Text detection can be specially suited for georeferencing business, navigation, tourist assistance, or to help visual impaired people. In this paper, we propose a general methodology to deal with the problem of text detection in outdoor scenes. The method is based on learning spatial information of gradient based features and Census Transform images using a cascade of classifiers. The method is applied in the context of Mobile Mapping systems, where a mobile vehicle captures urban image sequences. Moreover, a cover data set is presented and tested with the new methodology. The results show high accuracy when detecting multi-linear text regions with high variability of appearance, at same time that it preserves a low false alarm rate compared to classical approaches | ||||
Address | Cardona (Spain) | ||||
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ISSN | ISBN | 978-1-60750-061-2 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | OR;MILAB;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EBV2009 | Serial | 1181 | ||
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Author | Maya Dimitrova; I. Terziev; Petia Radeva; Juan J. Villanueva | ||||
Title | Java-Servlet Technology for Building New Web Document Classifiers | Type | Miscellaneous | ||
Year | 2004 | Publication | Abbreviated Journal | ||
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Address | Varna (Bulgaria) | ||||
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DTR2004 | Serial | 476 | ||
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Author | Maya Dimitrova; Petia Radeva; David Rotger; D. Boyadjiev; Juan J. Villanueva | ||||
Title | Advanced Cardiological Diagnosis via Intelligent Image Analysis | Type | Miscellaneous | ||
Year | 2004 | Publication | Abbreviated Journal | ||
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Address | Varna (Bulgaria) | ||||
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DRR2004 | Serial | 477 | ||
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Author | Maya Dimitrova; Ch. Roumenin; Petia Radeva; David Rotger; Juan J. Villanueva | ||||
Title | Multimodal Intelligent System for Cardiovascular Diagnosis | Type | Miscellaneous | ||
Year | 2003 | Publication | Automation and Informatics, any XXXVII, num. 3 | Abbreviated Journal | |
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DRR2003 | Serial | 374 | ||
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Author | Maya Dimitrova; Ch. Roumenin; Siya Lozanova; David Rotger; Petia Radeva | ||||
Title | An Interface System Based on Multimodal Principle for Cardiological Diagnosis Assistance | Type | Conference Article | ||
Year | 2007 | Publication | International Conference On Computer Systems And Technologies | Abbreviated Journal | |
Volume | IIIB.4 | Issue | Pages | 1–6 | |
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Address | Bulgaria | ||||
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Area | Expedition | Conference | CompSysTech’07 | ||
Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DRL2007 | Serial | 833 | ||
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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 | |
Volume | Issue | Pages | 3496–3499 | ||
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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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ISSN | 1051-4651 | ISBN | 978-1-4244-7542-1 | Medium | |
Area | Expedition | Conference | ICPR | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2010b | Serial | 1361 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Single Snapshot 3D Head Pose Initialization for Tracking in Human Robot Interaction Scenario | Type | Conference Article | ||
Year | 2010 | Publication | 1st International Workshop on Computer Vision for Human-Robot Interaction | Abbreviated Journal | |
Volume | Issue | Pages | 32–39 | ||
Keywords | 1st International Workshop on Computer Vision for Human-Robot Interaction, in conjunction with IEEE CVPR 2010 | ||||
Abstract | This paper presents an automatic 3D head pose initialization scheme for a real-time face tracker with application to human-robot interaction. It has two main contributions. First, we propose an automatic 3D head pose and person specific face shape estimation, based on a 3D deformable model. The proposed approach serves to initialize our realtime 3D face tracker. What makes this contribution very attractive is that the initialization step can cope with faces
under arbitrary pose, so it is not limited only to near-frontal views. Second, the previous framework is used to develop an application in which the orientation of an AIBO’s camera can be controlled through the imitation of user’s head pose. In our scenario, this application is used to build panoramic images from overlapping snapshots. Experiments on real videos confirm the robustness and usefulness of the proposed methods. |
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Address | San Francisco; CA; USA; June 2010 | ||||
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ISSN | 2160-7508 | ISBN | 978-1-4244-7029-7 | Medium | |
Area | Expedition | Conference | CVPRW | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2010a | Serial | 1309 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach | Type | Conference Article | ||
Year | 2009 | Publication | IEEE Workshop on Applications of Computer Vision | Abbreviated Journal | |
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Abstract | This paper presents a new approach for the simultaneous estimation of the 3D pose and specific shape of a previously unseen face from a single image. The face pose is not limited to a frontal view. We describe a holistic approach based on a deformable 3D model and a learned statistical facial texture model. Rather than obtaining a person-specific facial surface, the goal of this work is to compute person-specific 3D face shape in terms of a few control parameters that are used by many applications. The proposed holistic approach estimates the 3D pose parameters as well as the face shape control parameters by registering the warped texture to a statistical face texture, which is carried out by a stochastic and genetic optimizer. The proposed approach has several features that make it very attractive: (i) it uses a single grey-scale image, (ii) it is person-independent, (iii) it is featureless (no facial feature extraction is required), and (iv) its learning stage is easy. The proposed approach lends itself nicely to 3D face tracking and face gesture recognition in monocular videos. We describe extensive experiments that show the feasibility and robustness of the proposed approach. | ||||
Address | Utah, USA | ||||
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ISSN | 1550-5790 | ISBN | 978-1-4244-5497-6 | Medium | |
Area | Expedition | Conference | WACV | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2009b | Serial | 1256 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application | Type | Journal Article | ||
Year | 2009 | Publication | IEEE Transactions on Systems, Man and Cybernetics part B | Abbreviated Journal | TSMCB |
Volume | 39 | Issue | 4 | Pages | 935–944 |
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Abstract | Recently, we have proposed a real-time tracker that simultaneously tracks the 3-D head pose and facial actions in monocular video sequences that can be provided by low quality cameras. This paper has two main contributions. First, we propose an automatic 3-D face pose initialization scheme for the real-time tracker by adopting a 2-D face detector and an eigenface system. Second, we use the proposed methods-the initialization and tracking-for enhancing the human-machine interaction functionality of an AIBO robot. More precisely, we show how the orientation of the robot's camera (or any active vision system) can be controlled through the estimation of the user's head pose. Applications based on head-pose imitation such as telepresence, virtual reality, and video games can directly exploit the proposed techniques. Experiments on real videos confirm the robustness and usefulness of the proposed methods. | ||||
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2009a | Serial | 1218 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | 3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application | Type | Journal | ||
Year | 2008 | Publication | IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) | Abbreviated Journal | |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2008d | Serial | 1109 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Facial Expression Recognition for HCI Applications | Type | Book Chapter | ||
Year | 2008 | Publication | Encyclopedia of Artificial Intelligence | Abbreviated Journal | |
Volume | II | Issue | Pages | 625–631 | |
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Publisher | IGI–Global Publisher | Place of Publication | Editor | Rabuñal | |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2008c | Serial | 1034 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Constructing Panoramic Views Through Facial Gaze Tracking | Type | Conference Article | ||
Year | 2008 | Publication | IEEE International Conference on Multimedia and Expo, | Abbreviated Journal | |
Volume | Issue | Pages | 969–972 | ||
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Address | Hannover (Germany) | ||||
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Area | Expedition | Conference | ICME | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2008b | Serial | 983 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Detecting and Tracking of 3D Face Pose for Human-Robot Interaction | Type | Conference Article | ||
Year | 2008 | Publication | IEEE International Conference on Robotics and Automation, | Abbreviated Journal | |
Volume | Issue | Pages | 1716–1721 | ||
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Address | Pasadena; CA; USA | ||||
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Area | Expedition | Conference | ICRA | ||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ DoR2008a | Serial | 982 | ||
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