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Author Cristina Cañero; Fernando Vilariño; Petia Radeva
Title Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes Type Journal
Year 2002 Publication IEEE Transactions on Medical Imaging (IF: 2.911) Abbreviated Journal
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Notes MILAB;SIAI Approved no
Call Number (up) BCNPCL @ bcnpcl @ CVR2002 Serial 269
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Author Michal Drozdzal; Laura Igual; Petia Radeva; Jordi Vitria; Carolina Malagelada; Fernando Azpiroz
Title Aligning Endoluminal Scene Sequences in Wireless Capsule Endoscopy Type Conference Article
Year 2010 Publication IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis Abbreviated Journal
Volume Issue Pages 117–124
Keywords
Abstract Intestinal motility analysis is an important examination in detection of various intestinal malfunctions. One of the big challenges of automatic motility analysis is how to compare sequence of images and extract dynamic paterns taking into account the high deformability of the intestine wall as well as the capsule motion. From clinical point of view the ability to align endoluminal scene sequences will help to find regions of similar intestinal activity and in this way will provide a valuable information on intestinal motility problems. This work, for first time, addresses the problem of aligning endoluminal sequences taking into account motion and structure of the intestine. To describe motility in the sequence, we propose different descriptors based on the Sift Flow algorithm, namely: (1) Histograms of Sift Flow Directions to describe the flow course, (2) Sift Descriptors to represent image intestine structure and (3) Sift Flow Magnitude to quantify intestine deformation. We show that the merge of all three descriptors provides robust information on sequence description in terms of motility. Moreover, we develop a novel methodology to rank the intestinal sequences based on the expert feedback about relevance of the results. The experimental results show that the selected descriptors are useful in the alignment and similarity description and the proposed method allows the analysis of the WCE.
Address San Francisco; CA; USA; June 2010
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ISSN 2160-7508 ISBN 978-1-4244-7029-7 Medium
Area Expedition Conference MMBIA
Notes OR;MILAB;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DIR2010 Serial 1316
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Author Michal Drozdzal; Laura Igual; Jordi Vitria; Petia Radeva; Carolina Malagelada; Fernando Azpiroz
Title SIFT flow-based Sequences Alignment Type Conference Article
Year 2010 Publication Medical Image Computing in Catalunya: Graduate Student Workshop Abbreviated Journal
Volume Issue Pages 7–8
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Address Girona, Spain
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Area Expedition Conference MICCAT
Notes OR;MILAB;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DIV2010 Serial 1475
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Author Maya Dimitrova; N. Kushmerick; Petia Radeva; Juan J. Villanueva
Title User Assesment of a Visual Genre Classifier Type Miscellaneous
Year 2003 Publication Proceedings of the 3rd IASTED Int. Conference Visualization, Imaging and Image Processing Abbreviated Journal
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Notes MILAB Approved no
Call Number (up) BCNPCL @ bcnpcl @ DKR2003 Serial 372
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Author Fosca De Iorio; Carolina Malagelada; Fernando Azpiroz; M. Maluenda; C. Violanti; Laura Igual; Jordi Vitria; Juan R. Malagelada
Title Intestinal motor activity, endoluminal motion and transit Type Journal Article
Year 2009 Publication Neurogastroenterology & Motility Abbreviated Journal NEUMOT
Volume 21 Issue 12 Pages 1264–e119
Keywords
Abstract A programme for evaluation of intestinal motility has been recently developed based on endoluminal image analysis using computer vision methodology and machine learning techniques. Our aim was to determine the effect of intestinal muscle inhibition on wall motion, dynamics of luminal content and transit in the small bowel. Fourteen healthy subjects ingested the endoscopic capsule (Pillcam, Given Imaging) in fasting conditions. Seven of them received glucagon (4.8 microg kg(-1) bolus followed by a 9.6 microg kg(-1) h(-1) infusion during 1 h) and in the other seven, fasting activity was recorded, as controls. This dose of glucagon has previously shown to inhibit both tonic and phasic intestinal motor activity. Endoluminal image and displacement was analyzed by means of a computer vision programme specifically developed for the evaluation of muscular activity (contractile and non-contractile patterns), intestinal contents, endoluminal motion and transit. Thirty-minute periods before, during and after glucagon infusion were analyzed and compared with equivalent periods in controls. No differences were found in the parameters measured during the baseline (pretest) periods when comparing glucagon and control experiments. During glucagon infusion, there was a significant reduction in contractile activity (0.2 +/- 0.1 vs 4.2 +/- 0.9 luminal closures per min, P < 0.05; 0.4 +/- 0.1 vs 3.4 +/- 1.2% of images with radial wrinkles, P < 0.05) and a significant reduction of endoluminal motion (82 +/- 9 vs 21 +/- 10% of static images, P < 0.05). Endoluminal image analysis, by means of computer vision and machine learning techniques, can reliably detect reduced intestinal muscle activity and motion.
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Notes OR;MILAB;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DMA2009 Serial 1251
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Author Fadi Dornaika; Bogdan Raducanu
Title Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme Type Miscellaneous
Year 2006 Publication International Conference on Advanced Video and Signal Based Surveillance, (AVSS 2006), ISBN: 0–7695–2688–8 Abbreviated Journal
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Address Sydney (Australia)
Corporate Author Thesis
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Notes OR;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DoR2006 Serial 799
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Author Fadi Dornaika; Bogdan Raducanu
Title Efficient Facial Expression Recognition for Human Robot Interaction Type Conference Article
Year 2007 Publication Computational and Ambient Intelligence, 9th International Work–Conference on Artificial Neural Networks Abbreviated Journal
Volume 4507 Issue Pages 700–708
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Series Editor Series Title Abbreviated Series Title LNCS
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Area Expedition Conference IWANN
Notes OR;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DoR2007a Serial 792
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Author Fadi Dornaika; Bogdan Raducanu
Title Inferring Facial Expressions from Videos: Tool and Application Type Journal
Year 2007 Publication Signal Processing: Image Communication, vol. 22(9):769–784 Abbreviated Journal
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Notes OR;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DoR2007b Serial 918
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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 (up) BCNPCL @ bcnpcl @ DoR2008a Serial 982
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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 (up) BCNPCL @ bcnpcl @ DoR2008b Serial 983
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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 (up) BCNPCL @ bcnpcl @ DoR2008c Serial 1034
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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 (up) BCNPCL @ bcnpcl @ DoR2008d Serial 1109
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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 (up) BCNPCL @ bcnpcl @ DoR2009a Serial 1218
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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
Volume Issue Pages
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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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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1550-5790 ISBN 978-1-4244-5497-6 Medium
Area Expedition Conference WACV
Notes OR;MV Approved no
Call Number (up) BCNPCL @ bcnpcl @ DoR2009b Serial 1256
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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.
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 (up) BCNPCL @ bcnpcl @ DoR2010a Serial 1309
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