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Author Ignasi Rius; X. Varona; Xavier Roca; Jordi Gonzalez
Title Posture Constraints for Bayesian Human Motion Tracking Type Book Chapter
Year 2006 Publication IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 414–423 Abbreviated Journal
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Address Mallorca (Spain)
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Notes ISE Approved no
Call Number ISE @ ise @ RVR2006 Serial 720
Permanent link to this record
 
 
Author Angel Sappa
Title Splitting up Panoramic Range Images into Compact 2½D Representations Type Journal
Year 2006 Publication International Journal of Imaging Systems and Technology, 16(3): 85–91 Abbreviated Journal
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Notes ADAS Approved no
Call Number ADAS @ adas @ Sap2006b Serial 721
Permanent link to this record
 
 
Author Angel Sappa; Boris X. Vintimilla
Title Edge Point Linking by Means of Global and Local Schemes Type Conference Article
Year 2006 Publication IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. Abbreviated Journal
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Address Hammamet (Tunisia)
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Notes ADAS Approved no
Call Number ADAS @ adas @ SaV2006 Serial 722
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Author Jordi Vitria; M. Bressan; Petia Radeva
Title Bayesian classification of cork stoppers using class-conditional independent component analysis Type Journal
Year 2006 Publication IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) Abbreviated Journal
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Notes OR;MILAB;MV Approved no
Call Number BCNPCL @ bcnpcl @ VBR2006 Serial 723
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Author Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; Neus Salvatella; Petia Radeva
Title In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images Type Book Chapter
Year 2006 Publication 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 137–146 Abbreviated Journal
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Address Cancun (Mexico)
Corporate Author Thesis
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Notes MILAB;HuPBA Approved no
Call Number BCNPCL @ bcnpcl @ CBP2006c Serial 724
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Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva
Title Cascade analysis for intestinal contraction detection Type Conference Article
Year 2006 Publication 20th International Congress and exhibition Computer Assisted Radiology and Surgery Abbreviated Journal
Volume (up) Issue Pages 9-10
Keywords intestine video analysis, anisotropic features, support vector machine, cascade of classifiers
Abstract In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions.
Address Osaka (Japan)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area 800 Expedition Conference CARS
Notes MV;OR;MILAB;SIAI Approved no
Call Number BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h Serial 726
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Author Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca
Title Eyelids and Face Tracking in Real-Time Type Miscellaneous
Year 2006 Publication 6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 Abbreviated Journal
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Address Palma de Mallorca (Spain)
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Notes ISE Approved no
Call Number ISE @ ise @ OBG2006 Serial 730
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Author Fadi Dornaika; Franck Davoine
Title On appearance based face and facial action tracking Type Journal
Year 2006 Publication IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ DoD2006b Serial 732
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Author Fadi Dornaika; J. Ahlberg
Title Fitting 3D face models for tracking and active appearance model training Type Journal
Year 2006 Publication Image and Vision Computing, 24(9): 1010–1024 Abbreviated Journal
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Address
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Notes Approved no
Call Number Admin @ si @ DoA2006 Serial 733
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Author Fadi Dornaika; Franck Davoine
Title Facial expression recognition using auto-regressive models Type Miscellaneous
Year 2006 Publication 18th International Conference on Pattern Recognition (ICPR´06), ISBN: 0–7695–2521–0, 4: 520–523 Abbreviated Journal
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Address Hong Kong
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Notes Approved no
Call Number Admin @ si @ DoD2006a Serial 734
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Author R. Herault; Franck Davoine; Fadi Dornaika; Y. Grandvalet
Title Simultaneous and robust face and facial action tracking Type Miscellaneous
Year 2006 Publication 15eme Congres Francophone AFRIF–AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA´06) Abbreviated Journal
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Address Tours (France)
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Notes Approved no
Call Number Admin @ si @ HDD2006 Serial 735
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Author David Aldavert
Title Visual Simultaneous Localization and Mapping Type Report
Year 2006 Publication CVC Technical Report #98 Abbreviated Journal
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Address CVC (UAB)
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Notes ADAS Approved no
Call Number Admin @ si @ Ald2006 Serial 736
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Author David Geronimo
Title Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems Type Report
Year 2006 Publication CVC Technical Report #98 Abbreviated Journal
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Address CVC (UAB)
Corporate Author Thesis Master's thesis
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Notes ADAS Approved no
Call Number ADAS @ adas @ Ger2006 Serial 737
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Author Fernando Vilariño
Title A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy Type Book Whole
Year 2006 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal
Volume (up) Issue Pages
Keywords
Abstract Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way.
Address CVC (UAB)
Corporate Author Thesis Ph.D. thesis
Publisher Place of Publication Editor Petia Radeva
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue 84-933652-7-0 Edition
ISSN ISBN Medium
Area 800 Expedition Conference
Notes MV;SIAI Approved no
Call Number Admin @ si @ Vil2006; IAM @ iam @ Vil2006 Serial 738
Permanent link to this record
 
 
Author German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez
Title Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios Type Conference Article
Year 2013 Publication 24th British Machine Vision Conference Abbreviated Journal
Volume (up) Issue Pages
Keywords SLAM
Abstract Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach.
Address Bristol; UK; September 2013
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Area Expedition Conference BMVC
Notes ADAS Approved no
Call Number Admin @ si @ RGS2013b; ADAS @ adas @ Serial 2274
Permanent link to this record