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Cristina Cañero; Fernando Vilariño; Petia Radeva |
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Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes |
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2002 |
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IEEE Transactions on Medical Imaging (IF: 2.911) |
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MILAB;SIAI |
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BCNPCL @ bcnpcl @ CVR2002 |
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269 |
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Michal Drozdzal; Laura Igual; Petia Radeva; Jordi Vitria; Carolina Malagelada; Fernando Azpiroz |
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Aligning Endoluminal Scene Sequences in Wireless Capsule Endoscopy |
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2010 |
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IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis |
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117–124 |
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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. |
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San Francisco; CA; USA; June 2010 |
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2160-7508 |
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978-1-4244-7029-7 |
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MMBIA |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ DIR2010 |
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1316 |
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Michal Drozdzal; Laura Igual; Jordi Vitria; Petia Radeva; Carolina Malagelada; Fernando Azpiroz |
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Title |
SIFT flow-based Sequences Alignment |
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Conference Article |
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2010 |
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Medical Image Computing in Catalunya: Graduate Student Workshop |
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7–8 |
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Girona, Spain |
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MICCAT |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ DIV2010 |
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1475 |
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Maya Dimitrova; N. Kushmerick; Petia Radeva; Juan J. Villanueva |
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Title |
User Assesment of a Visual Genre Classifier |
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Miscellaneous |
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2003 |
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Proceedings of the 3rd IASTED Int. Conference Visualization, Imaging and Image Processing |
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MILAB |
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BCNPCL @ bcnpcl @ DKR2003 |
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372 |
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Fosca De Iorio; Carolina Malagelada; Fernando Azpiroz; M. Maluenda; C. Violanti; Laura Igual; Jordi Vitria; Juan R. Malagelada |
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Intestinal motor activity, endoluminal motion and transit |
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2009 |
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Neurogastroenterology & Motility |
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NEUMOT |
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21 |
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12 |
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1264–e119 |
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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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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ DMA2009 |
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1251 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme |
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2006 |
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International Conference on Advanced Video and Signal Based Surveillance, (AVSS 2006), ISBN: 0–7695–2688–8 |
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Sydney (Australia) |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2006 |
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799 |
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Fadi Dornaika; Bogdan Raducanu |
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Efficient Facial Expression Recognition for Human Robot Interaction |
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2007 |
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Computational and Ambient Intelligence, 9th International Work–Conference on Artificial Neural Networks |
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4507 |
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700–708 |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2007a |
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792 |
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Fadi Dornaika; Bogdan Raducanu |
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Inferring Facial Expressions from Videos: Tool and Application |
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2007 |
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Signal Processing: Image Communication, vol. 22(9):769–784 |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2007b |
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918 |
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Fadi Dornaika; Bogdan Raducanu |
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Detecting and Tracking of 3D Face Pose for Human-Robot Interaction |
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2008 |
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IEEE International Conference on Robotics and Automation, |
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1716–1721 |
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Pasadena; CA; USA |
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ICRA |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008a |
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982 |
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Fadi Dornaika; Bogdan Raducanu |
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Constructing Panoramic Views Through Facial Gaze Tracking |
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2008 |
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IEEE International Conference on Multimedia and Expo, |
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969–972 |
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Hannover (Germany) |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008b |
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983 |
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Fadi Dornaika; Bogdan Raducanu |
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Facial Expression Recognition for HCI Applications |
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2008 |
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Encyclopedia of Artificial Intelligence |
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II |
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625–631 |
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IGI–Global Publisher |
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Rabuñal |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008c |
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1034 |
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Fadi Dornaika; Bogdan Raducanu |
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3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application |
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2008 |
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IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) |
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BCNPCL @ bcnpcl @ DoR2008d |
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1109 |
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Fadi Dornaika; Bogdan Raducanu |
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Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application |
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2009 |
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IEEE Transactions on Systems, Man and Cybernetics part B |
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39 |
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935–944 |
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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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OR;MV |
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BCNPCL @ bcnpcl @ DoR2009a |
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1218 |
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Fadi Dornaika; Bogdan Raducanu |
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Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach |
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2009 |
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IEEE Workshop on Applications of Computer Vision |
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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. |
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Utah, USA |
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1550-5790 |
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978-1-4244-5497-6 |
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WACV |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2009b |
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1256 |
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Fadi Dornaika; Bogdan Raducanu |
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Single Snapshot 3D Head Pose Initialization for Tracking in Human Robot Interaction Scenario |
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Conference Article |
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2010 |
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1st International Workshop on Computer Vision for Human-Robot Interaction |
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32–39 |
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1st International Workshop on Computer Vision for Human-Robot Interaction, in conjunction with IEEE CVPR 2010 |
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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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San Francisco; CA; USA; June 2010 |
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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 |
|
Permanent link to this record |